id sid tid token lemma pos cet-3929 1 1 chemical chemical NOUN cet-3929 1 2 engineering engineering NOUN cet-3929 1 3 transactions transaction NOUN cet-3929 1 4 vol vol NOUN cet-3929 1 5 . . PROPN cet-3929 2 1 51 51 NUM cet-3929 2 2 , , PUNCT cet-3929 2 3 2016 2016 NUM cet-3929 2 4 a a DET cet-3929 2 5 publication publication NOUN cet-3929 2 6 of of ADP cet-3929 2 7 the the DET cet-3929 2 8 italian italian ADJ cet-3929 2 9 association association NOUN cet-3929 2 10 of of ADP cet-3929 2 11 chemical chemical PROPN cet-3929 2 12 engineering engineering NOUN cet-3929 2 13 online online ADV cet-3929 2 14 at at ADP cet-3929 2 15 www.aidic.it/cet www.aidic.it/cet PROPN cet-3929 2 16 guest guest NOUN cet-3929 2 17 editors editor NOUN cet-3929 2 18 : : PUNCT cet-3929 2 19 tichun tichun PROPN cet-3929 2 20 wang wang PROPN cet-3929 2 21 , , PUNCT cet-3929 2 22 hongyang hongyang PROPN cet-3929 2 23 zhang zhang PROPN cet-3929 2 24 , , PUNCT cet-3929 2 25 lei lei PROPN cet-3929 2 26 tian tian ADJ cet-3929 2 27 copyright copyright NOUN cet-3929 2 28 © © PROPN cet-3929 2 29 2016 2016 NUM cet-3929 2 30 , , PUNCT cet-3929 2 31 aidic aidic ADJ cet-3929 2 32 servizi servizi PROPN cet-3929 2 33 s.r.l s.r.l NOUN cet-3929 2 34 . . PUNCT cet-3929 2 35 , , PUNCT cet-3929 2 36 isbn isbn PROPN cet-3929 2 37 978 978 NUM cet-3929 2 38 - - SYM cet-3929 2 39 88 88 NUM cet-3929 2 40 - - PUNCT cet-3929 2 41 95608 95608 NUM cet-3929 2 42 - - PUNCT cet-3929 2 43 43 43 NUM cet-3929 2 44 - - SYM cet-3929 2 45 3 3 NUM cet-3929 2 46 ; ; PUNCT cet-3929 2 47 issn issn PROPN cet-3929 2 48 2283 2283 NUM cet-3929 2 49 - - SYM cet-3929 2 50 9216 9216 NUM cet-3929 2 51 the the DET cet-3929 2 52 application application NOUN cet-3929 2 53 of of ADP cet-3929 2 54 high high ADJ cet-3929 2 55 - - PUNCT cet-3929 2 56 dimensional dimensional ADJ cet-3929 2 57 data datum NOUN cet-3929 2 58 classification classification NOUN cet-3929 2 59 by by ADP cet-3929 2 60 random random ADJ cet-3929 2 61 forest forest NOUN cet-3929 2 62 based base VERB cet-3929 2 63 on on ADP cet-3929 2 64 hadoop hadoop NOUN cet-3929 2 65 cloud cloud NOUN cet-3929 2 66 computing computing NOUN cet-3929 2 67 platform platform NOUN cet-3929 2 68 chong chong PROPN cet-3929 2 69 li li PROPN cet-3929 2 70 information information PROPN cet-3929 2 71 engineering engineering PROPN cet-3929 2 72 school school NOUN cet-3929 2 73 , , PUNCT cet-3929 2 74 chongqing chongqing PROPN cet-3929 2 75 vocational vocational PROPN cet-3929 2 76 institute institute PROPN cet-3929 2 77 of of ADP cet-3929 2 78 engineering engineering PROPN cet-3929 2 79 , , PUNCT cet-3929 2 80 jiangjin jiangjin NOUN cet-3929 2 81 , , PUNCT cet-3929 2 82 chongqing chongqing PROPN cet-3929 2 83 , , PUNCT cet-3929 2 84 china china PROPN cet-3929 2 85 , , PUNCT cet-3929 2 86 402260 402260 NUM cet-3929 2 87 cqlichong@163.com cqlichong@163.com PROPN cet-3929 2 88 the the DET cet-3929 2 89 high high ADV cet-3929 2 90 - - PUNCT cet-3929 2 91 dimensional dimensional ADJ cet-3929 2 92 data datum NOUN cet-3929 2 93 has have VERB cet-3929 2 94 a a DET cet-3929 2 95 number number NOUN cet-3929 2 96 of of ADP cet-3929 2 97 uncertain uncertain ADJ cet-3929 2 98 factors factor NOUN cet-3929 2 99 , , PUNCT cet-3929 2 100 such such ADJ cet-3929 2 101 as as ADP cet-3929 2 102 sparse sparse ADJ cet-3929 2 103 features feature NOUN cet-3929 2 104 , , PUNCT cet-3929 2 105 repeated repeat VERB cet-3929 2 106 features feature NOUN cet-3929 2 107 and and CCONJ cet-3929 2 108 computational computational ADJ cet-3929 2 109 complexity complexity NOUN cet-3929 2 110 . . PUNCT cet-3929 3 1 the the DET cet-3929 3 2 random random ADJ cet-3929 3 3 forest forest NOUN cet-3929 3 4 algorithm algorithm NOUN cet-3929 3 5 is be AUX cet-3929 3 6 a a DET cet-3929 3 7 ensemble ensemble ADJ cet-3929 3 8 classifier classifier NOUN cet-3929 3 9 method method NOUN cet-3929 3 10 , , PUNCT cet-3929 3 11 and and CCONJ cet-3929 3 12 composed compose VERB cet-3929 3 13 of of ADP cet-3929 3 14 numerous numerous ADJ cet-3929 3 15 weak weak ADJ cet-3929 3 16 classifiers classifier NOUN cet-3929 3 17 . . PUNCT cet-3929 4 1 it it PRON cet-3929 4 2 can can AUX cet-3929 4 3 overcome overcome VERB cet-3929 4 4 a a DET cet-3929 4 5 number number NOUN cet-3929 4 6 of of ADP cet-3929 4 7 practical practical ADJ cet-3929 4 8 problems problem NOUN cet-3929 4 9 , , PUNCT cet-3929 4 10 such such ADJ cet-3929 4 11 as as ADP cet-3929 4 12 the the DET cet-3929 4 13 small small ADJ cet-3929 4 14 sample sample NOUN cet-3929 4 15 size size NOUN cet-3929 4 16 , , PUNCT cet-3929 4 17 over over ADP cet-3929 4 18 - - PUNCT cet-3929 4 19 learning learning NOUN cet-3929 4 20 , , PUNCT cet-3929 4 21 nonlinearity nonlinearity NOUN cet-3929 4 22 , , PUNCT cet-3929 4 23 the the DET cet-3929 4 24 curse curse NOUN cet-3929 4 25 of of ADP cet-3929 4 26 dimensionality dimensionality NOUN cet-3929 4 27 and and CCONJ cet-3929 4 28 local local ADJ cet-3929 4 29 minima minima NOUN cet-3929 4 30 , , PUNCT cet-3929 4 31 and and CCONJ cet-3929 4 32 it it PRON cet-3929 4 33 has have VERB cet-3929 4 34 a a DET cet-3929 4 35 good good ADJ cet-3929 4 36 application application NOUN cet-3929 4 37 prospect prospect NOUN cet-3929 4 38 in in ADP cet-3929 4 39 the the DET cet-3929 4 40 field field NOUN cet-3929 4 41 of of ADP cet-3929 4 42 high high ADJ cet-3929 4 43 - - PUNCT cet-3929 4 44 dimensional dimensional ADJ cet-3929 4 45 data datum NOUN cet-3929 4 46 classification classification NOUN cet-3929 4 47 . . PUNCT cet-3929 5 1 in in ADP cet-3929 5 2 order order NOUN cet-3929 5 3 to to PART cet-3929 5 4 improve improve VERB cet-3929 5 5 the the DET cet-3929 5 6 classification classification NOUN cet-3929 5 7 accuracy accuracy NOUN cet-3929 5 8 and and CCONJ cet-3929 5 9 computational computational ADJ cet-3929 5 10 efficiency efficiency NOUN cet-3929 5 11 , , PUNCT cet-3929 5 12 a a DET cet-3929 5 13 neval neval NOUN cet-3929 5 14 classification classification NOUN cet-3929 5 15 method method NOUN cet-3929 5 16 based base VERB cet-3929 5 17 on on ADP cet-3929 5 18 the the DET cet-3929 5 19 hadoop hadoop NOUN cet-3929 5 20 cloud cloud NOUN cet-3929 5 21 computing computing NOUN cet-3929 5 22 platform platform NOUN cet-3929 5 23 is be AUX cet-3929 5 24 proposed propose VERB cet-3929 5 25 . . PUNCT cet-3929 6 1 firstly firstly ADV cet-3929 6 2 , , PUNCT cet-3929 6 3 the the DET cet-3929 6 4 processing processing NOUN cet-3929 6 5 of of ADP cet-3929 6 6 bagging bag VERB cet-3929 6 7 algorithm algorithm NOUN cet-3929 6 8 is be AUX cet-3929 6 9 done do VERB cet-3929 6 10 with with ADP cet-3929 6 11 the the DET cet-3929 6 12 data data NOUN cet-3929 6 13 sets set NOUN cet-3929 6 14 to to PART cet-3929 6 15 get get VERB cet-3929 6 16 the the DET cet-3929 6 17 different different ADJ cet-3929 6 18 data data NOUN cet-3929 6 19 subsets subset NOUN cet-3929 6 20 . . PUNCT cet-3929 7 1 secondly secondly ADV cet-3929 7 2 , , PUNCT cet-3929 7 3 the the DET cet-3929 7 4 random random ADJ cet-3929 7 5 forest forest NOUN cet-3929 7 6 is be AUX cet-3929 7 7 completed complete VERB cet-3929 7 8 by by ADP cet-3929 7 9 training training NOUN cet-3929 7 10 of of ADP cet-3929 7 11 the the DET cet-3929 7 12 decision decision NOUN cet-3929 7 13 tree tree NOUN cet-3929 7 14 under under ADP cet-3929 7 15 the the DET cet-3929 7 16 mapreuce mapreuce NOUN cet-3929 7 17 architecture architecture NOUN cet-3929 7 18 . . PUNCT cet-3929 8 1 finally finally ADV cet-3929 8 2 , , PUNCT cet-3929 8 3 the the DET cet-3929 8 4 processing processing NOUN cet-3929 8 5 of of ADP cet-3929 8 6 data datum NOUN cet-3929 8 7 sets set VERB cet-3929 8 8 classification classification NOUN cet-3929 8 9 is be AUX cet-3929 8 10 done do VERB cet-3929 8 11 by by ADP cet-3929 8 12 the the DET cet-3929 8 13 random random ADJ cet-3929 8 14 forest forest NOUN cet-3929 8 15 . . PUNCT cet-3929 9 1 in in ADP cet-3929 9 2 our our PRON cet-3929 9 3 experiment experiment NOUN cet-3929 9 4 , , PUNCT cet-3929 9 5 the the DET cet-3929 9 6 three three NUM cet-3929 9 7 high high ADJ cet-3929 9 8 - - PUNCT cet-3929 9 9 dimensional dimensional ADJ cet-3929 9 10 data datum NOUN cet-3929 9 11 sets set NOUN cet-3929 9 12 are be AUX cet-3929 9 13 used use VERB cet-3929 9 14 as as ADP cet-3929 9 15 the the DET cet-3929 9 16 subjects subject NOUN cet-3929 9 17 . . PUNCT cet-3929 10 1 the the DET cet-3929 10 2 experimental experimental ADJ cet-3929 10 3 results result NOUN cet-3929 10 4 show show VERB cet-3929 10 5 that that SCONJ cet-3929 10 6 the the DET cet-3929 10 7 classification classification NOUN cet-3929 10 8 accuracy accuracy NOUN cet-3929 10 9 of of ADP cet-3929 10 10 proposed propose VERB cet-3929 10 11 method method NOUN cet-3929 10 12 is be AUX cet-3929 10 13 higher high ADJ cet-3929 10 14 than than ADP cet-3929 10 15 that that PRON cet-3929 10 16 of of ADP cet-3929 10 17 stand stand VERB cet-3929 10 18 - - PUNCT cet-3929 10 19 alone alone ADV cet-3929 10 20 random random ADJ cet-3929 10 21 forest forest NOUN cet-3929 10 22 , , PUNCT cet-3929 10 23 and and CCONJ cet-3929 10 24 the the DET cet-3929 10 25 computational computational ADJ cet-3929 10 26 efficiency efficiency NOUN cet-3929 10 27 is be AUX cet-3929 10 28 improved improve VERB cet-3929 10 29 significantly significantly ADV cet-3929 10 30 . . PUNCT cet-3929 11 1 1 1 X cet-3929 11 2 . . X cet-3929 11 3 introduction introduction NOUN cet-3929 11 4 the the DET cet-3929 11 5 ensemble ensemble ADJ cet-3929 11 6 classifier classifier NOUN cet-3929 11 7 methods method NOUN cet-3929 11 8 have have AUX cet-3929 11 9 been be AUX cet-3929 11 10 developing develop VERB cet-3929 11 11 rapidly rapidly ADV cet-3929 11 12 in in ADP cet-3929 11 13 decades decade NOUN cet-3929 11 14 , , PUNCT cet-3929 11 15 since since SCONJ cet-3929 11 16 the the DET cet-3929 11 17 performance performance NOUN cet-3929 11 18 is be AUX cet-3929 11 19 always always ADV cet-3929 11 20 superior superior ADJ cet-3929 11 21 to to ADP cet-3929 11 22 that that PRON cet-3929 11 23 of of ADP cet-3929 11 24 other other ADJ cet-3929 11 25 single single ADJ cet-3929 11 26 classifier classifier PROPN cet-3929 11 27 methods(zhang methods(zhang PROPN cet-3929 11 28 , , PUNCT cet-3929 11 29 2010 2010 NUM cet-3929 11 30 ; ; PUNCT cet-3929 11 31 sortiris sortiris ADJ cet-3929 11 32 , , PUNCT cet-3929 11 33 2011 2011 NUM cet-3929 11 34 ) ) PUNCT cet-3929 11 35 . . PUNCT cet-3929 12 1 and and CCONJ cet-3929 12 2 it it PRON cet-3929 12 3 has have AUX cet-3929 12 4 become become VERB cet-3929 12 5 one one NUM cet-3929 12 6 of of ADP cet-3929 12 7 the the DET cet-3929 12 8 main main ADJ cet-3929 12 9 domains domain NOUN cet-3929 12 10 in in ADP cet-3929 12 11 machine machine NOUN cet-3929 12 12 learning learning NOUN cet-3929 12 13 and and CCONJ cet-3929 12 14 pattern pattern NOUN cet-3929 12 15 recognition recognition NOUN cet-3929 12 16 . . PUNCT cet-3929 13 1 the the DET cet-3929 13 2 main main ADJ cet-3929 13 3 process process NOUN cet-3929 13 4 of of ADP cet-3929 13 5 constructing construct VERB cet-3929 13 6 an an DET cet-3929 13 7 ensemble ensemble ADJ cet-3929 13 8 classifiers classifier NOUN cet-3929 13 9 system system NOUN cet-3929 13 10 is be AUX cet-3929 13 11 to to PART cet-3929 13 12 exploit exploit VERB cet-3929 13 13 base base NOUN cet-3929 13 14 classifiers classifier NOUN cet-3929 13 15 with with ADP cet-3929 13 16 different different ADJ cet-3929 13 17 subsets subset NOUN cet-3929 13 18 of of ADP cet-3929 13 19 the the DET cet-3929 13 20 same same ADJ cet-3929 13 21 training training NOUN cet-3929 13 22 data datum NOUN cet-3929 13 23 set set VERB cet-3929 13 24 , , PUNCT cet-3929 13 25 and and CCONJ cet-3929 13 26 then then ADV cet-3929 13 27 combines combine VERB cet-3929 13 28 the the DET cet-3929 13 29 outpus outpus NOUN cet-3929 13 30 of of ADP cet-3929 13 31 these these DET cet-3929 13 32 variant variant ADJ cet-3929 13 33 base base NOUN cet-3929 13 34 classifiers classifier NOUN cet-3929 13 35 ( ( PUNCT cet-3929 13 36 valiant valiant PROPN cet-3929 13 37 et et PROPN cet-3929 13 38 al al PROPN cet-3929 13 39 . . PROPN cet-3929 13 40 , , PUNCT cet-3929 13 41 1984 1984 NUM cet-3929 13 42 ) ) PUNCT cet-3929 13 43 . . PUNCT cet-3929 14 1 in in ADP cet-3929 14 2 the the DET cet-3929 14 3 research research NOUN cet-3929 14 4 of of ADP cet-3929 14 5 ensemble ensemble ADJ cet-3929 14 6 classifiers classifier NOUN cet-3929 14 7 method method VERB cet-3929 14 8 , , PUNCT cet-3929 14 9 the the DET cet-3929 14 10 accuracy accuracy NOUN cet-3929 14 11 of of ADP cet-3929 14 12 base base NOUN cet-3929 14 13 classifier classifier NOUN cet-3929 14 14 and and CCONJ cet-3929 14 15 the the DET cet-3929 14 16 diversity diversity NOUN cet-3929 14 17 between between ADP cet-3929 14 18 different different ADJ cet-3929 14 19 base base NOUN cet-3929 14 20 classifiers classifier NOUN cet-3929 14 21 are be AUX cet-3929 14 22 two two NUM cet-3929 14 23 main main ADJ cet-3929 14 24 factors factor NOUN cet-3929 14 25 . . PUNCT cet-3929 15 1 it it PRON cet-3929 15 2 leads lead VERB cet-3929 15 3 to to ADP cet-3929 15 4 a a DET cet-3929 15 5 better well ADJ cet-3929 15 6 classification classification NOUN cet-3929 15 7 performance performance NOUN cet-3929 15 8 with with ADP cet-3929 15 9 higher high ADJ cet-3929 15 10 individual individual ADJ cet-3929 15 11 accuracy accuracy NOUN cet-3929 15 12 and and CCONJ cet-3929 15 13 higher high ADJ cet-3929 15 14 diversity diversity NOUN cet-3929 15 15 in in ADP cet-3929 15 16 ensemble ensemble ADJ cet-3929 15 17 classifiers classifier NOUN cet-3929 15 18 system system NOUN cet-3929 15 19 . . PUNCT cet-3929 16 1 among among ADP cet-3929 16 2 the the DET cet-3929 16 3 ensemble ensemble ADJ cet-3929 16 4 learning learning NOUN cet-3929 16 5 methods method NOUN cet-3929 16 6 , , PUNCT cet-3929 16 7 the the DET cet-3929 16 8 most most ADV cet-3929 16 9 popular popular ADJ cet-3929 16 10 ensemble ensemble ADJ cet-3929 16 11 algorithms algorithm NOUN cet-3929 16 12 are be AUX cet-3929 16 13 bagging bag VERB cet-3929 16 14 ( ( PUNCT cet-3929 16 15 breiman breiman NOUN cet-3929 16 16 , , PUNCT cet-3929 16 17 1996 1996 NUM cet-3929 16 18 ) ) PUNCT cet-3929 16 19 , , PUNCT cet-3929 16 20 adaboost(freund adaboost(freund PROPN cet-3929 16 21 et et PROPN cet-3929 16 22 al al PROPN cet-3929 16 23 . . PROPN cet-3929 16 24 , , PUNCT cet-3929 16 25 1995 1995 NUM cet-3929 16 26 ) ) PUNCT cet-3929 16 27 , , PUNCT cet-3929 16 28 random random ADJ cet-3929 16 29 subspace(ho subspace(ho INTJ cet-3929 16 30 et et PROPN cet-3929 16 31 al al PROPN cet-3929 16 32 . . PROPN cet-3929 16 33 , , PUNCT cet-3929 16 34 1998 1998 NUM cet-3929 16 35 ) ) PUNCT cet-3929 16 36 ) ) PUNCT cet-3929 16 37 , , PUNCT cet-3929 16 38 random random ADJ cet-3929 16 39 forest forest NOUN cet-3929 16 40 ( ( PUNCT cet-3929 16 41 breiman breiman NOUN cet-3929 16 42 , , PUNCT cet-3929 16 43 2001 2001 NUM cet-3929 16 44 ) ) PUNCT cet-3929 16 45 , , PUNCT cet-3929 16 46 and and CCONJ cet-3929 16 47 rotation rotation NOUN cet-3929 16 48 forest(juan forest(juan PROPN cet-3929 16 49 et et PROPN cet-3929 16 50 al al PROPN cet-3929 16 51 . . PROPN cet-3929 16 52 , , PUNCT cet-3929 16 53 2006 2006 NUM cet-3929 16 54 ) ) PUNCT cet-3929 16 55 ) ) PUNCT cet-3929 16 56 . . PUNCT cet-3929 17 1 in in ADP cet-3929 17 2 research research NOUN cet-3929 17 3 of of ADP cet-3929 17 4 ensemble ensemble ADJ cet-3929 17 5 classifiers classifier NOUN cet-3929 17 6 method method VERB cet-3929 17 7 for for ADP cet-3929 17 8 high high ADJ cet-3929 17 9 - - PUNCT cet-3929 17 10 dimensional dimensional ADJ cet-3929 17 11 data data NOUN cet-3929 17 12 classification classification NOUN cet-3929 17 13 task task NOUN cet-3929 17 14 , , PUNCT cet-3929 17 15 there there PRON cet-3929 17 16 are be VERB cet-3929 17 17 some some PRON cet-3929 17 18 more more ADJ cet-3929 17 19 problems problem NOUN cet-3929 17 20 to to PART cet-3929 17 21 deal deal VERB cet-3929 17 22 with with ADP cet-3929 17 23 . . PUNCT cet-3929 18 1 the the DET cet-3929 18 2 common common ADJ cet-3929 18 3 factors factor NOUN cet-3929 18 4 of of ADP cet-3929 18 5 ensemble ensemble ADJ cet-3929 18 6 classifiers classifier NOUN cet-3929 18 7 method method NOUN cet-3929 18 8 are be AUX cet-3929 18 9 as as SCONJ cet-3929 18 10 follows follow VERB cet-3929 18 11 , , PUNCT cet-3929 18 12 the the DET cet-3929 18 13 accuracy accuracy NOUN cet-3929 18 14 of of ADP cet-3929 18 15 base base NOUN cet-3929 18 16 classifier classifier NOUN cet-3929 18 17 , , PUNCT cet-3929 18 18 the the DET cet-3929 18 19 diversity diversity NOUN cet-3929 18 20 between between ADP cet-3929 18 21 each each DET cet-3929 18 22 two two NUM cet-3929 18 23 base base NOUN cet-3929 18 24 classifiers classifier NOUN cet-3929 18 25 , , PUNCT cet-3929 18 26 the the DET cet-3929 18 27 number number NOUN cet-3929 18 28 of of ADP cet-3929 18 29 base base NOUN cet-3929 18 30 classifiers classifier NOUN cet-3929 18 31 to to PART cet-3929 18 32 be be AUX cet-3929 18 33 combined combine VERB cet-3929 18 34 , , PUNCT cet-3929 18 35 the the DET cet-3929 18 36 strategy strategy NOUN cet-3929 18 37 of of ADP cet-3929 18 38 combing comb VERB cet-3929 18 39 the the DET cet-3929 18 40 base base NOUN cet-3929 18 41 classifiers classifier NOUN cet-3929 18 42 and and CCONJ cet-3929 18 43 so so ADV cet-3929 18 44 on on ADV cet-3929 18 45 . . PUNCT cet-3929 19 1 in in ADP cet-3929 19 2 addition addition NOUN cet-3929 19 3 to to ADP cet-3929 19 4 these these PRON cet-3929 19 5 , , PUNCT cet-3929 19 6 there there PRON cet-3929 19 7 are be VERB cet-3929 19 8 some some DET cet-3929 19 9 other other ADJ cet-3929 19 10 problems problem NOUN cet-3929 19 11 for for ADP cet-3929 19 12 high high ADJ cet-3929 19 13 - - PUNCT cet-3929 19 14 dimensional dimensional ADJ cet-3929 19 15 data datum NOUN cet-3929 19 16 classification classification NOUN cet-3929 19 17 . . PUNCT cet-3929 20 1 1 1 X cet-3929 20 2 ) ) PUNCT cet-3929 20 3 the the DET cet-3929 20 4 high high ADJ cet-3929 20 5 dimension dimension NOUN cet-3929 20 6 of of ADP cet-3929 20 7 data datum NOUN cet-3929 20 8 . . PUNCT cet-3929 21 1 in in ADP cet-3929 21 2 our our PRON cet-3929 21 3 research research NOUN cet-3929 21 4 , , PUNCT cet-3929 21 5 the the DET cet-3929 21 6 dimensions dimension NOUN cet-3929 21 7 of of ADP cet-3929 21 8 data datum NOUN cet-3929 21 9 sets set NOUN cet-3929 21 10 in in ADP cet-3929 21 11 our our PRON cet-3929 21 12 experiments experiment NOUN cet-3929 21 13 are be AUX cet-3929 21 14 250 250 NUM cet-3929 21 15 to to PART cet-3929 21 16 10000 10000 NUM cet-3929 21 17 . . PUNCT cet-3929 22 1 the the DET cet-3929 22 2 result result NOUN cet-3929 22 3 shows show VERB cet-3929 22 4 that that SCONJ cet-3929 22 5 the the DET cet-3929 22 6 accuracy accuracy NOUN cet-3929 22 7 of of ADP cet-3929 22 8 base base NOUN cet-3929 22 9 classifers classifer NOUN cet-3929 22 10 and and CCONJ cet-3929 22 11 the the DET cet-3929 22 12 diversity diversity NOUN cet-3929 22 13 between between ADP cet-3929 22 14 them they PRON cet-3929 22 15 can can AUX cet-3929 22 16 decrease decrease VERB cet-3929 22 17 with with ADP cet-3929 22 18 the the DET cet-3929 22 19 increase increase NOUN cet-3929 22 20 of of ADP cet-3929 22 21 dimension dimension NOUN cet-3929 22 22 . . PUNCT cet-3929 23 1 2 2 NUM cet-3929 23 2 ) ) PUNCT cet-3929 23 3 computational computational ADJ cet-3929 23 4 complexity complexity NOUN cet-3929 23 5 . . PUNCT cet-3929 24 1 as as SCONJ cet-3929 24 2 we we PRON cet-3929 24 3 know know VERB cet-3929 24 4 that that SCONJ cet-3929 24 5 with with ADP cet-3929 24 6 the the DET cet-3929 24 7 increase increase NOUN cet-3929 24 8 of of ADP cet-3929 24 9 data datum NOUN cet-3929 24 10 ’s ’s PART cet-3929 24 11 dimension dimension NOUN cet-3929 24 12 , , PUNCT cet-3929 24 13 the the DET cet-3929 24 14 computational computational ADJ cet-3929 24 15 complexity complexity NOUN cet-3929 24 16 increases increase NOUN cet-3929 24 17 . . PUNCT cet-3929 25 1 so so ADV cet-3929 25 2 , , PUNCT cet-3929 25 3 the the DET cet-3929 25 4 solutions solution NOUN cet-3929 25 5 to to PART cet-3929 25 6 decline decline VERB cet-3929 25 7 the the DET cet-3929 25 8 computational computational ADJ cet-3929 25 9 complexity complexity NOUN cet-3929 25 10 are be AUX cet-3929 25 11 feature feature NOUN cet-3929 25 12 extraction extraction NOUN cet-3929 25 13 and and CCONJ cet-3929 25 14 less less ADJ cet-3929 25 15 base base NOUN cet-3929 25 16 classifiers classifier NOUN cet-3929 25 17 to to PART cet-3929 25 18 be be AUX cet-3929 25 19 combined combine VERB cet-3929 25 20 . . PUNCT cet-3929 26 1 random random ADJ cet-3929 26 2 forest forest NOUN cet-3929 26 3 is be AUX cet-3929 26 4 a a DET cet-3929 26 5 very very ADV cet-3929 26 6 popular popular ADJ cet-3929 26 7 ensemble ensemble ADJ cet-3929 26 8 classifier classifier NOUN cet-3929 26 9 method method NOUN cet-3929 26 10 , , PUNCT cet-3929 26 11 the the DET cet-3929 26 12 main main ADJ cet-3929 26 13 idea idea NOUN cet-3929 26 14 is be AUX cet-3929 26 15 to to PART cet-3929 26 16 construct construct VERB cet-3929 26 17 a a DET cet-3929 26 18 strong strong ADJ cet-3929 26 19 classifier classifier NOUN cet-3929 26 20 by by ADP cet-3929 26 21 combining combine VERB cet-3929 26 22 multiple multiple ADJ cet-3929 26 23 weak weak ADJ cet-3929 26 24 classifiers classifier NOUN cet-3929 26 25 . . PUNCT cet-3929 27 1 however however ADV cet-3929 27 2 , , PUNCT cet-3929 27 3 when when SCONJ cet-3929 27 4 dealing deal VERB cet-3929 27 5 with with ADP cet-3929 27 6 the the DET cet-3929 27 7 high high ADV cet-3929 27 8 - - PUNCT cet-3929 27 9 dimensional dimensional ADJ cet-3929 27 10 data datum NOUN cet-3929 27 11 classification classification NOUN cet-3929 27 12 , , PUNCT cet-3929 27 13 the the DET cet-3929 27 14 performance performance NOUN cet-3929 27 15 degrades degrade VERB cet-3929 27 16 rapidly rapidly ADV cet-3929 27 17 . . PUNCT cet-3929 28 1 according accord VERB cet-3929 28 2 to to ADP cet-3929 28 3 the the DET cet-3929 28 4 hadoop hadoop NOUN cet-3929 28 5 cloud cloud NOUN cet-3929 28 6 computing computing NOUN cet-3929 28 7 platform platform NOUN cet-3929 28 8 , , PUNCT cet-3929 28 9 the the DET cet-3929 28 10 random random ADJ cet-3929 28 11 forest forest NOUN cet-3929 28 12 algorithm algorithm NOUN cet-3929 28 13 is be AUX cet-3929 28 14 deployed deploy VERB cet-3929 28 15 on on ADP cet-3929 28 16 the the DET cet-3929 28 17 hadoop hadoop NOUN cet-3929 28 18 platform platform NOUN cet-3929 28 19 to to PART cet-3929 28 20 realize realize VERB cet-3929 28 21 the the DET cet-3929 28 22 parallel parallel ADJ cet-3929 28 23 computing computing NOUN cet-3929 28 24 , , PUNCT cet-3929 28 25 which which PRON cet-3929 28 26 can can AUX cet-3929 28 27 increase increase VERB cet-3929 28 28 the the DET cet-3929 28 29 computational computational ADJ cet-3929 28 30 speed speed NOUN cet-3929 28 31 in in ADP cet-3929 28 32 theory theory NOUN cet-3929 28 33 . . PUNCT cet-3929 29 1 random random ADJ cet-3929 29 2 forest forest NOUN cet-3929 29 3 on on ADP cet-3929 29 4 hadoop hadoop NOUN cet-3929 29 5 platform platform NOUN cet-3929 29 6 improves improve VERB cet-3929 29 7 both both CCONJ cet-3929 29 8 the the DET cet-3929 29 9 computational computational ADJ cet-3929 29 10 doi doi NOUN cet-3929 29 11 : : PUNCT cet-3929 29 12 10.3303 10.3303 NUM cet-3929 29 13 / / SYM cet-3929 29 14 cet1651065 cet1651065 NOUN cet-3929 29 15 please please INTJ cet-3929 29 16 cite cite VERB cet-3929 29 17 this this DET cet-3929 29 18 article article NOUN cet-3929 29 19 as as ADP cet-3929 29 20 : : PUNCT cet-3929 29 21 li li PROPN cet-3929 29 22 c. c. PROPN cet-3929 29 23 , , PUNCT cet-3929 29 24 2016 2016 NUM cet-3929 29 25 , , PUNCT cet-3929 29 26 the the DET cet-3929 29 27 application application NOUN cet-3929 29 28 of of ADP cet-3929 29 29 high high ADJ cet-3929 29 30 - - PUNCT cet-3929 29 31 dimensional dimensional ADJ cet-3929 29 32 data datum NOUN cet-3929 29 33 classification classification NOUN cet-3929 29 34 by by ADP cet-3929 29 35 random random ADJ cet-3929 29 36 forest forest NOUN cet-3929 29 37 based base VERB cet-3929 29 38 on on ADP cet-3929 29 39 hadoop hadoop NOUN cet-3929 29 40 cloud cloud NOUN cet-3929 29 41 computing computing NOUN cet-3929 29 42 platform platform NOUN cet-3929 29 43 , , PUNCT cet-3929 29 44 chemical chemical NOUN cet-3929 29 45 engineering engineering NOUN cet-3929 29 46 transactions transaction NOUN cet-3929 29 47 , , PUNCT cet-3929 29 48 51 51 NUM cet-3929 29 49 , , PUNCT cet-3929 29 50 385 385 NUM cet-3929 29 51 - - SYM cet-3929 29 52 390 390 NUM cet-3929 29 53 doi:10.3303 doi:10.3303 NOUN cet-3929 29 54 / / SYM cet-3929 29 55 cet1651065 cet1651065 NOUN cet-3929 29 56 385 385 NUM cet-3929 29 57 efficiency efficiency NOUN cet-3929 29 58 and and CCONJ cet-3929 29 59 accuracy accuracy NOUN cet-3929 29 60 of of ADP cet-3929 29 61 the the DET cet-3929 29 62 classification classification NOUN cet-3929 29 63 of of ADP cet-3929 29 64 high high ADJ cet-3929 29 65 dimensional dimensional ADJ cet-3929 29 66 data datum NOUN cet-3929 29 67 . . PUNCT cet-3929 30 1 mapreduce mapreduce NOUN cet-3929 30 2 architecture architecture NOUN cet-3929 30 3 is be AUX cet-3929 30 4 one one NUM cet-3929 30 5 of of ADP cet-3929 30 6 the the DET cet-3929 30 7 most most ADV cet-3929 30 8 classical classical ADJ cet-3929 30 9 hadoop hadoop NOUN cet-3929 30 10 platform platform NOUN cet-3929 30 11 , , PUNCT cet-3929 30 12 and and CCONJ cet-3929 30 13 is be AUX cet-3929 30 14 an an DET cet-3929 30 15 embodiment embodiment NOUN cet-3929 30 16 of of ADP cet-3929 30 17 " " PUNCT cet-3929 30 18 divide divide NOUN cet-3929 30 19 and and CCONJ cet-3929 30 20 rule rule NOUN cet-3929 30 21 " " PUNCT cet-3929 30 22 . . PUNCT cet-3929 31 1 in in ADP cet-3929 31 2 the the DET cet-3929 31 3 map map NOUN cet-3929 31 4 stage stage NOUN cet-3929 31 5 , , PUNCT cet-3929 31 6 it it PRON cet-3929 31 7 can can AUX cet-3929 31 8 decompose decompose VERB cet-3929 31 9 a a DET cet-3929 31 10 complex complex ADJ cet-3929 31 11 problem problem NOUN cet-3929 31 12 into into ADP cet-3929 31 13 a a DET cet-3929 31 14 number number NOUN cet-3929 31 15 of of ADP cet-3929 31 16 sub sub NOUN cet-3929 31 17 problems problem NOUN cet-3929 31 18 that that PRON cet-3929 31 19 are be AUX cet-3929 31 20 easy easy ADJ cet-3929 31 21 to to PART cet-3929 31 22 solve solve VERB cet-3929 31 23 , , PUNCT cet-3929 31 24 and and CCONJ cet-3929 31 25 on on ADP cet-3929 31 26 the the DET cet-3929 31 27 basis basis NOUN cet-3929 31 28 of of ADP cet-3929 31 29 solving solve VERB cet-3929 31 30 the the DET cet-3929 31 31 sub sub NOUN cet-3929 31 32 problems problem NOUN cet-3929 31 33 , , PUNCT cet-3929 31 34 the the DET cet-3929 31 35 original original ADJ cet-3929 31 36 complex complex ADJ cet-3929 31 37 problems problem NOUN cet-3929 31 38 is be AUX cet-3929 31 39 solved solve VERB cet-3929 31 40 esasily esasily ADV cet-3929 31 41 . . PUNCT cet-3929 32 1 in in ADP cet-3929 32 2 the the DET cet-3929 32 3 reduce reduce NOUN cet-3929 32 4 stage stage NOUN cet-3929 32 5 , , PUNCT cet-3929 32 6 the the DET cet-3929 32 7 random random ADJ cet-3929 32 8 forest forest NOUN cet-3929 32 9 is be AUX cet-3929 32 10 got get VERB cet-3929 32 11 to to PART cet-3929 32 12 do do VERB cet-3929 32 13 the the DET cet-3929 32 14 data data NOUN cet-3929 32 15 classification classification NOUN cet-3929 32 16 by by ADP cet-3929 32 17 combining combine VERB cet-3929 32 18 the the DET cet-3929 32 19 decision decision NOUN cet-3929 32 20 trees tree NOUN cet-3929 32 21 . . PUNCT cet-3929 33 1 finally finally ADV cet-3929 33 2 , , PUNCT cet-3929 33 3 the the DET cet-3929 33 4 experiment experiment NOUN cet-3929 33 5 is be AUX cet-3929 33 6 done do VERB cet-3929 33 7 with with ADP cet-3929 33 8 3 3 NUM cet-3929 33 9 data data NOUN cet-3929 33 10 sets set NOUN cet-3929 33 11 from from ADP cet-3929 33 12 uci uci PROPN cet-3929 33 13 , , PUNCT cet-3929 33 14 and and CCONJ cet-3929 33 15 the the DET cet-3929 33 16 results result NOUN cet-3929 33 17 show show VERB cet-3929 33 18 that that SCONJ cet-3929 33 19 the the DET cet-3929 33 20 random random ADJ cet-3929 33 21 forest forest NOUN cet-3929 33 22 on on ADP cet-3929 33 23 hadoop hadoop NOUN cet-3929 33 24 platform platform NOUN cet-3929 33 25 gets get VERB cet-3929 33 26 higher high ADJ cet-3929 33 27 classification classification NOUN cet-3929 33 28 accuracy accuracy NOUN cet-3929 33 29 than than ADP cet-3929 33 30 stand stand VERB cet-3929 33 31 - - PUNCT cet-3929 33 32 alone alone ADV cet-3929 33 33 random random ADJ cet-3929 33 34 forest forest NOUN cet-3929 33 35 . . PUNCT cet-3929 34 1 furthermore furthermore ADV cet-3929 34 2 , , PUNCT cet-3929 34 3 it it PRON cet-3929 34 4 indicates indicate VERB cet-3929 34 5 that that SCONJ cet-3929 34 6 the the DET cet-3929 34 7 computational computational ADJ cet-3929 34 8 speed speed NOUN cet-3929 34 9 almost almost ADV cet-3929 34 10 increases increase VERB cet-3929 34 11 by by ADP cet-3929 34 12 40 40 NUM cet-3929 34 13 % % NOUN cet-3929 34 14 than than ADP cet-3929 34 15 stand stand VERB cet-3929 34 16 - - PUNCT cet-3929 34 17 alone alone ADV cet-3929 34 18 random random ADJ cet-3929 34 19 forest forest NOUN cet-3929 34 20 . . PUNCT cet-3929 35 1 2 2 X cet-3929 35 2 . . X cet-3929 35 3 hadoop hadoop NOUN cet-3929 35 4 hadoop hadoop NOUN cet-3929 35 5 is be AUX cet-3929 35 6 a a DET cet-3929 35 7 distributed distribute VERB cet-3929 35 8 system system NOUN cet-3929 35 9 infrastructure infrastructure NOUN cet-3929 35 10 , , PUNCT cet-3929 35 11 which which PRON cet-3929 35 12 is be AUX cet-3929 35 13 developed develop VERB cet-3929 35 14 by by ADP cet-3929 35 15 the the DET cet-3929 35 16 apache apache PROPN cet-3929 35 17 foundation foundation PROPN cet-3929 35 18 ( ( PUNCT cet-3929 35 19 grangier grangier NOUN cet-3929 35 20 d.(2008 d.(2008 PROPN cet-3929 35 21 ) ) PUNCT cet-3929 35 22 ) ) PUNCT cet-3929 35 23 . . PUNCT cet-3929 36 1 the the DET cet-3929 36 2 user user NOUN cet-3929 36 3 can can AUX cet-3929 36 4 build build VERB cet-3929 36 5 a a DET cet-3929 36 6 distributed distribute VERB cet-3929 36 7 computing computing NOUN cet-3929 36 8 platform platform NOUN cet-3929 36 9 without without ADP cet-3929 36 10 knowing know VERB cet-3929 36 11 the the DET cet-3929 36 12 details detail NOUN cet-3929 36 13 of of ADP cet-3929 36 14 the the DET cet-3929 36 15 distributed distribute VERB cet-3929 36 16 bottom bottom ADJ cet-3929 36 17 layer layer NOUN cet-3929 36 18 . . PUNCT cet-3929 37 1 the the DET cet-3929 37 2 difference difference NOUN cet-3929 37 3 between between ADP cet-3929 37 4 hadoop hadoop NOUN cet-3929 37 5 and and CCONJ cet-3929 37 6 other other ADJ cet-3929 37 7 parallel parallel ADJ cet-3929 37 8 programming programming NOUN cet-3929 37 9 methods method NOUN cet-3929 37 10 is be AUX cet-3929 37 11 that that DET cet-3929 37 12 hadoop hadoop NOUN cet-3929 37 13 has have VERB cet-3929 37 14 a a DET cet-3929 37 15 distributed distribute VERB cet-3929 37 16 file file NOUN cet-3929 37 17 system system NOUN cet-3929 37 18 hdfs hdfs NOUN cet-3929 37 19 to to PART cet-3929 37 20 support support VERB cet-3929 37 21 its its PRON cet-3929 37 22 data datum NOUN cet-3929 37 23 processing processing NOUN cet-3929 37 24 . . PUNCT cet-3929 38 1 in in ADP cet-3929 38 2 the the DET cet-3929 38 3 calculation calculation NOUN cet-3929 38 4 , , PUNCT cet-3929 38 5 each each DET cet-3929 38 6 task task NOUN cet-3929 38 7 processing processing NOUN cet-3929 38 8 can can AUX cet-3929 38 9 be be AUX cet-3929 38 10 stored store VERB cet-3929 38 11 in in ADP cet-3929 38 12 the the DET cet-3929 38 13 local local ADJ cet-3929 38 14 data data NOUN cet-3929 38 15 file file NOUN cet-3929 38 16 to to PART cet-3929 38 17 avoid avoid VERB cet-3929 38 18 the the DET cet-3929 38 19 transmission transmission NOUN cet-3929 38 20 of of ADP cet-3929 38 21 data datum NOUN cet-3929 38 22 between between ADP cet-3929 38 23 nodes node NOUN cet-3929 38 24 . . PUNCT cet-3929 39 1 the the DET cet-3929 39 2 basic basic ADJ cet-3929 39 3 architecture architecture NOUN cet-3929 39 4 model model NOUN cet-3929 39 5 of of ADP cet-3929 39 6 hadoop hadoop NOUN cet-3929 39 7 is be AUX cet-3929 39 8 composed compose VERB cet-3929 39 9 of of ADP cet-3929 39 10 the the DET cet-3929 39 11 distributed distribute VERB cet-3929 39 12 file file NOUN cet-3929 39 13 system system NOUN cet-3929 39 14 ( ( PUNCT cet-3929 39 15 hdfs hdfs PROPN cet-3929 39 16 ) ) PUNCT cet-3929 39 17 and and CCONJ cet-3929 39 18 mapreduce mapreduce PROPN cet-3929 39 19 computing computing NOUN cet-3929 39 20 framework framework NOUN cet-3929 39 21 . . PUNCT cet-3929 40 1 2.1 2.1 NUM cet-3929 40 2 hdfs hdfs NOUN cet-3929 40 3 hdfs hdfs PROPN cet-3929 40 4 is be AUX cet-3929 40 5 a a DET cet-3929 40 6 distributed distribute VERB cet-3929 40 7 storage storage NOUN cet-3929 40 8 system system NOUN cet-3929 40 9 of of ADP cet-3929 40 10 hadoop hadoop NOUN cet-3929 40 11 platform platform NOUN cet-3929 40 12 with with ADP cet-3929 40 13 high high ADJ cet-3929 40 14 fault fault NOUN cet-3929 40 15 tolerance tolerance NOUN cet-3929 40 16 , , PUNCT cet-3929 40 17 and and CCONJ cet-3929 40 18 it it PRON cet-3929 40 19 can can AUX cet-3929 40 20 be be AUX cet-3929 40 21 deployed deploy VERB cet-3929 40 22 on on ADP cet-3929 40 23 low low ADJ cet-3929 40 24 - - PUNCT cet-3929 40 25 cost cost NOUN cet-3929 40 26 hardware hardware NOUN cet-3929 40 27 devices device NOUN cet-3929 40 28 ( ( PUNCT cet-3929 40 29 yang yang PROPN cet-3929 40 30 et et PROPN cet-3929 40 31 al al PROPN cet-3929 40 32 . . PROPN cet-3929 40 33 , , PUNCT cet-3929 40 34 2012 2012 NUM cet-3929 40 35 ; ; PUNCT cet-3929 40 36 alham alham PROPN cet-3929 40 37 et et PROPN cet-3929 40 38 al al PROPN cet-3929 40 39 . . PROPN cet-3929 40 40 , , PUNCT cet-3929 40 41 2011 2011 NUM cet-3929 40 42 ) ) PUNCT cet-3929 40 43 ) ) PUNCT cet-3929 40 44 . . PUNCT cet-3929 41 1 hdfs hdfs PROPN cet-3929 41 2 is be AUX cet-3929 41 3 suitable suitable ADJ cet-3929 41 4 for for ADP cet-3929 41 5 applications application NOUN cet-3929 41 6 of of ADP cet-3929 41 7 big big ADJ cet-3929 41 8 data datum NOUN cet-3929 41 9 sets set NOUN cet-3929 41 10 , , PUNCT cet-3929 41 11 and and CCONJ cet-3929 41 12 provides provide VERB cet-3929 41 13 a a DET cet-3929 41 14 high high ADJ cet-3929 41 15 throughput throughput NOUN cet-3929 41 16 of of ADP cet-3929 41 17 data datum NOUN cet-3929 41 18 . . PUNCT cet-3929 42 1 hdfs hdfs PROPN cet-3929 42 2 is be AUX cet-3929 42 3 a a DET cet-3929 42 4 slave slave NOUN cet-3929 42 5 / / SYM cet-3929 42 6 master master NOUN cet-3929 42 7 structure structure NOUN cet-3929 42 8 , , PUNCT cet-3929 42 9 which which PRON cet-3929 42 10 consists consist VERB cet-3929 42 11 of of ADP cet-3929 42 12 a a DET cet-3929 42 13 name name NOUN cet-3929 42 14 node node NOUN cet-3929 42 15 and and CCONJ cet-3929 42 16 a a DET cet-3929 42 17 number number NOUN cet-3929 42 18 of of ADP cet-3929 42 19 data datum NOUN cet-3929 42 20 nodes node NOUN cet-3929 42 21 . . PUNCT cet-3929 43 1 and and CCONJ cet-3929 43 2 name name VERB cet-3929 43 3 node node NOUN cet-3929 43 4 is be AUX cet-3929 43 5 used use VERB cet-3929 43 6 as as ADP cet-3929 43 7 a a DET cet-3929 43 8 server server NOUN cet-3929 43 9 to to PART cet-3929 43 10 save save VERB cet-3929 43 11 the the DET cet-3929 43 12 metadata metadata NOUN cet-3929 43 13 in in ADP cet-3929 43 14 the the DET cet-3929 43 15 file file NOUN cet-3929 43 16 system system NOUN cet-3929 43 17 , , PUNCT cet-3929 43 18 so so SCONJ cet-3929 43 19 as as SCONJ cet-3929 43 20 to to PART cet-3929 43 21 manage manage VERB cet-3929 43 22 the the DET cet-3929 43 23 namespace namespace NOUN cet-3929 43 24 of of ADP cet-3929 43 25 file file NOUN cet-3929 43 26 system system NOUN cet-3929 43 27 and and CCONJ cet-3929 43 28 the the DET cet-3929 43 29 access access NOUN cet-3929 43 30 to to ADP cet-3929 43 31 files file NOUN cet-3929 43 32 by by ADP cet-3929 43 33 clients client NOUN cet-3929 43 34 . . PUNCT cet-3929 44 1 the the DET cet-3929 44 2 name name NOUN cet-3929 44 3 node node NOUN cet-3929 44 4 does do AUX cet-3929 44 5 not not PART cet-3929 44 6 store store VERB cet-3929 44 7 the the DET cet-3929 44 8 actual actual ADJ cet-3929 44 9 data data NOUN cet-3929 44 10 file file NOUN cet-3929 44 11 , , PUNCT cet-3929 44 12 because because SCONJ cet-3929 44 13 the the DET cet-3929 44 14 data data NOUN cet-3929 44 15 files file NOUN cet-3929 44 16 are be AUX cet-3929 44 17 divided divide VERB cet-3929 44 18 into into ADP cet-3929 44 19 a a DET cet-3929 44 20 number number NOUN cet-3929 44 21 of of ADP cet-3929 44 22 file file NOUN cet-3929 44 23 blocks block NOUN cet-3929 44 24 according accord VERB cet-3929 44 25 to to ADP cet-3929 44 26 the the DET cet-3929 44 27 rules rule NOUN cet-3929 44 28 to to PART cet-3929 44 29 be be AUX cet-3929 44 30 stored store VERB cet-3929 44 31 on on ADP cet-3929 44 32 different different ADJ cet-3929 44 33 data datum NOUN cet-3929 44 34 nodes node NOUN cet-3929 44 35 . . PUNCT cet-3929 45 1 2.2 2.2 NUM cet-3929 45 2 mapreduce mapreduce NOUN cet-3929 45 3 mapreduce mapreduce PROPN cet-3929 45 4 is be AUX cet-3929 45 5 a a DET cet-3929 45 6 parallel parallel ADJ cet-3929 45 7 computing compute VERB cet-3929 45 8 framework framework NOUN cet-3929 45 9 of of ADP cet-3929 45 10 hadoop hadoop NOUN cet-3929 45 11 platform platform NOUN cet-3929 45 12 , , PUNCT cet-3929 45 13 and and CCONJ cet-3929 45 14 its its PRON cet-3929 45 15 inspiration inspiration NOUN cet-3929 45 16 comes come VERB cet-3929 45 17 from from ADP cet-3929 45 18 the the DET cet-3929 45 19 functional functional ADJ cet-3929 45 20 programming programming NOUN cet-3929 45 21 language language NOUN cet-3929 45 22 map map NOUN cet-3929 45 23 and and CCONJ cet-3929 45 24 reduce reduce VERB cet-3929 45 25 ( ( PUNCT cet-3929 45 26 dean dean NOUN cet-3929 45 27 et et PROPN cet-3929 45 28 al al PROPN cet-3929 45 29 . . PROPN cet-3929 45 30 , , PUNCT cet-3929 45 31 2008 2008 NUM cet-3929 45 32 ; ; PUNCT cet-3929 45 33 rranger rranger NOUN cet-3929 45 34 et et PROPN cet-3929 45 35 al al PROPN cet-3929 45 36 . . PROPN cet-3929 45 37 , , PUNCT cet-3929 45 38 2007 2007 NUM cet-3929 45 39 ) ) PUNCT cet-3929 45 40 . . PUNCT cet-3929 46 1 in in ADP cet-3929 46 2 dealing deal VERB cet-3929 46 3 with with ADP cet-3929 46 4 some some DET cet-3929 46 5 chaotic chaotic ADJ cet-3929 46 6 data datum NOUN cet-3929 46 7 , , PUNCT cet-3929 46 8 the the DET cet-3929 46 9 feature feature NOUN cet-3929 46 10 of of ADP cet-3929 46 11 each each DET cet-3929 46 12 data datum NOUN cet-3929 46 13 is be AUX cet-3929 46 14 extracted extract VERB cet-3929 46 15 by by ADP cet-3929 46 16 the the DET cet-3929 46 17 analysis analysis NOUN cet-3929 46 18 of of ADP cet-3929 46 19 map map NOUN cet-3929 46 20 function function NOUN cet-3929 46 21 , , PUNCT cet-3929 46 22 and and CCONJ cet-3929 46 23 the the DET cet-3929 46 24 < < X cet-3929 46 25 key key ADJ cet-3929 46 26 , , PUNCT cet-3929 46 27 value value NOUN cet-3929 46 28 > > X cet-3929 46 29 is be AUX cet-3929 46 30 got get VERB cet-3929 46 31 as as ADP cet-3929 46 32 the the DET cet-3929 46 33 input input NOUN cet-3929 46 34 . . PUNCT cet-3929 47 1 in in ADP cet-3929 47 2 shuttle shuttle NOUN cet-3929 47 3 stage stage NOUN cet-3929 47 4 , , PUNCT cet-3929 47 5 all all DET cet-3929 47 6 values value NOUN cet-3929 47 7 that that PRON cet-3929 47 8 belong belong VERB cet-3929 47 9 to to ADP cet-3929 47 10 the the DET cet-3929 47 11 same same ADJ cet-3929 47 12 key key NOUN cet-3929 47 13 are be AUX cet-3929 47 14 put put VERB cet-3929 47 15 into into ADP cet-3929 47 16 the the DET cet-3929 47 17 same same ADJ cet-3929 47 18 reduce reduce VERB cet-3929 47 19 function function NOUN cet-3929 47 20 for for ADP cet-3929 47 21 processing processing NOUN cet-3929 47 22 . . PUNCT cet-3929 48 1 in in ADP cet-3929 48 2 general general ADJ cet-3929 48 3 , , PUNCT cet-3929 48 4 the the DET cet-3929 48 5 mapreduce mapreduce NOUN cet-3929 48 6 framework framework NOUN cet-3929 48 7 is be AUX cet-3929 48 8 divided divide VERB cet-3929 48 9 into into ADP cet-3929 48 10 map map NOUN cet-3929 48 11 tasks task NOUN cet-3929 48 12 and and CCONJ cet-3929 48 13 reduce reduce VERB cet-3929 48 14 tasks task NOUN cet-3929 48 15 . . PUNCT cet-3929 49 1 multiple multiple ADJ cet-3929 49 2 data datum NOUN cet-3929 49 3 segments segment NOUN cet-3929 49 4 are be AUX cet-3929 49 5 processed process VERB cet-3929 49 6 by by ADP cet-3929 49 7 using use VERB cet-3929 49 8 map map NOUN cet-3929 49 9 function function NOUN cet-3929 49 10 on on ADP cet-3929 49 11 multiple multiple ADJ cet-3929 49 12 machines machine NOUN cet-3929 49 13 , , PUNCT cet-3929 49 14 and and CCONJ cet-3929 49 15 the the DET cet-3929 49 16 local local ADJ cet-3929 49 17 results result NOUN cet-3929 49 18 obtained obtain VERB cet-3929 49 19 are be AUX cet-3929 49 20 combined combine VERB cet-3929 49 21 with with ADP cet-3929 49 22 the the DET cet-3929 49 23 combiner combiner NOUN cet-3929 49 24 function function NOUN cet-3929 49 25 . . PUNCT cet-3929 50 1 and and CCONJ cet-3929 50 2 then then ADV cet-3929 50 3 the the DET cet-3929 50 4 data data NOUN cet-3929 50 5 is be AUX cet-3929 50 6 distributed distribute VERB cet-3929 50 7 to to ADP cet-3929 50 8 different different ADJ cet-3929 50 9 reduce reduce NOUN cet-3929 50 10 functions function NOUN cet-3929 50 11 to to PART cet-3929 50 12 be be AUX cet-3929 50 13 processed process VERB cet-3929 50 14 with with ADP cet-3929 50 15 < < X cet-3929 50 16 key key ADJ cet-3929 50 17 , , PUNCT cet-3929 50 18 value value NOUN cet-3929 50 19 > > X cet-3929 50 20 . . PUNCT cet-3929 51 1 when when SCONJ cet-3929 51 2 all all DET cet-3929 51 3 the the DET cet-3929 51 4 map map NOUN cet-3929 51 5 and and CCONJ cet-3929 51 6 reduce reduce VERB cet-3929 51 7 jobs job NOUN cet-3929 51 8 are be AUX cet-3929 51 9 completed complete VERB cet-3929 51 10 , , PUNCT cet-3929 51 11 a a DET cet-3929 51 12 number number NOUN cet-3929 51 13 of of ADP cet-3929 51 14 output output NOUN cet-3929 51 15 files file NOUN cet-3929 51 16 of of ADP cet-3929 51 17 reduce reduce NOUN cet-3929 51 18 function function NOUN cet-3929 51 19 are be AUX cet-3929 51 20 put put VERB cet-3929 51 21 into into ADP cet-3929 51 22 another another DET cet-3929 51 23 mapreduce mapreduce NOUN cet-3929 51 24 program program NOUN cet-3929 51 25 to to PART cet-3929 51 26 do do VERB cet-3929 51 27 the the DET cet-3929 51 28 combination combination NOUN cet-3929 51 29 processing processing NOUN cet-3929 51 30 . . PUNCT cet-3929 52 1 then then ADV cet-3929 52 2 the the DET cet-3929 52 3 result result NOUN cet-3929 52 4 is be AUX cet-3929 52 5 wrote write VERB cet-3929 52 6 on on ADP cet-3929 52 7 the the DET cet-3929 52 8 hdfs hdfs PROPN cet-3929 52 9 . . PUNCT cet-3929 53 1 mapreduce mapreduce PROPN cet-3929 53 2 programming programming NOUN cet-3929 53 3 model model NOUN cet-3929 53 4 provides provide VERB cet-3929 53 5 a a DET cet-3929 53 6 highly highly ADV cet-3929 53 7 abstract abstract ADJ cet-3929 53 8 programming programming NOUN cet-3929 53 9 mechanism mechanism NOUN cet-3929 53 10 , , PUNCT cet-3929 53 11 the the DET cet-3929 53 12 programmers programmer NOUN cet-3929 53 13 only only ADV cet-3929 53 14 need need VERB cet-3929 53 15 to to PART cet-3929 53 16 know know VERB cet-3929 53 17 what what PRON cet-3929 53 18 to to PART cet-3929 53 19 do do VERB cet-3929 53 20 and and CCONJ cet-3929 53 21 how how SCONJ cet-3929 53 22 to to PART cet-3929 53 23 program program VERB cet-3929 53 24 . . PUNCT cet-3929 54 1 because because SCONJ cet-3929 54 2 data datum NOUN cet-3929 54 3 synchronization synchronization NOUN cet-3929 54 4 , , PUNCT cet-3929 54 5 data datum NOUN cet-3929 54 6 distribution distribution NOUN cet-3929 54 7 , , PUNCT cet-3929 54 8 data datum NOUN cet-3929 54 9 communications communication NOUN cet-3929 54 10 and and CCONJ cet-3929 54 11 other other ADJ cet-3929 54 12 details detail NOUN cet-3929 54 13 are be AUX cet-3929 54 14 given give VERB cet-3929 54 15 to to ADP cet-3929 54 16 the the DET cet-3929 54 17 underlying underlie VERB cet-3929 54 18 framework framework NOUN cet-3929 54 19 of of ADP cet-3929 54 20 the the DET cet-3929 54 21 system system NOUN cet-3929 54 22 to to PART cet-3929 54 23 deal deal VERB cet-3929 54 24 with with ADP cet-3929 54 25 , , PUNCT cet-3929 54 26 so so SCONJ cet-3929 54 27 as as SCONJ cet-3929 54 28 to to PART cet-3929 54 29 facilitate facilitate VERB cet-3929 54 30 the the DET cet-3929 54 31 programmer programmer NOUN cet-3929 54 32 to to PART cet-3929 54 33 consider consider VERB cet-3929 54 34 how how SCONJ cet-3929 54 35 to to PART cet-3929 54 36 design design VERB cet-3929 54 37 algorithms algorithm NOUN cet-3929 54 38 from from ADP cet-3929 54 39 the the DET cet-3929 54 40 nature nature NOUN cet-3929 54 41 of of ADP cet-3929 54 42 the the DET cet-3929 54 43 problem problem NOUN cet-3929 54 44 . . PUNCT cet-3929 55 1 in in ADP cet-3929 55 2 the the DET cet-3929 55 3 mapreduce mapreduce PROPN cet-3929 55 4 platform platform NOUN cet-3929 55 5 , , PUNCT cet-3929 55 6 the the DET cet-3929 55 7 data datum NOUN cet-3929 55 8 set set VERB cet-3929 55 9 of of ADP cet-3929 55 10 a a DET cet-3929 55 11 job job NOUN cet-3929 55 12 is be AUX cet-3929 55 13 usually usually ADV cet-3929 55 14 divided divide VERB cet-3929 55 15 into into ADP cet-3929 55 16 several several ADJ cet-3929 55 17 independent independent ADJ cet-3929 55 18 databases database NOUN cet-3929 55 19 . . PUNCT cet-3929 56 1 and and CCONJ cet-3929 56 2 a a DET cet-3929 56 3 < < X cet-3929 56 4 key key ADJ cet-3929 56 5 , , PUNCT cet-3929 56 6 value value NOUN cet-3929 56 7 > > X cet-3929 56 8 pair pair NOUN cet-3929 56 9 is be AUX cet-3929 56 10 mapped map VERB cet-3929 56 11 into into ADP cet-3929 56 12 a a DET cet-3929 56 13 new new ADJ cet-3929 56 14 < < X cet-3929 56 15 key key ADJ cet-3929 56 16 , , PUNCT cet-3929 56 17 value value NOUN cet-3929 56 18 > > X cet-3929 56 19 pair pair NOUN cet-3929 56 20 by by ADP cet-3929 56 21 map map NOUN cet-3929 56 22 parallel parallel ADJ cet-3929 56 23 processing processing NOUN cet-3929 56 24 , , PUNCT cet-3929 56 25 which which PRON cet-3929 56 26 is be AUX cet-3929 56 27 as as ADP cet-3929 56 28 the the DET cet-3929 56 29 input input NOUN cet-3929 56 30 of of ADP cet-3929 56 31 reduce reduce NOUN cet-3929 56 32 . . PUNCT cet-3929 57 1 the the DET cet-3929 57 2 calculation calculation NOUN cet-3929 57 3 process process NOUN cet-3929 57 4 of of ADP cet-3929 57 5 mapreduce mapreduce PROPN cet-3929 57 6 is be AUX cet-3929 57 7 shown show VERB cet-3929 57 8 in in ADP cet-3929 57 9 figure figure NOUN cet-3929 57 10 1 1 NUM cet-3929 57 11 , , PUNCT cet-3929 57 12 which which PRON cet-3929 57 13 includes include VERB cet-3929 57 14 input input NOUN cet-3929 57 15 stage stage NOUN cet-3929 57 16 , , PUNCT cet-3929 57 17 map map NOUN cet-3929 57 18 stage stage NOUN cet-3929 57 19 , , PUNCT cet-3929 57 20 reduce reduce VERB cet-3929 57 21 stage stage NOUN cet-3929 57 22 and and CCONJ cet-3929 57 23 output output NOUN cet-3929 57 24 stage stage NOUN cet-3929 57 25 . . PUNCT cet-3929 58 1 figure figure NOUN cet-3929 58 2 1 1 NUM cet-3929 58 3 : : PUNCT cet-3929 58 4 the the DET cet-3929 58 5 flow flow NOUN cet-3929 58 6 chart chart NOUN cet-3929 58 7 of of ADP cet-3929 58 8 mapreduce mapreduce PROPN cet-3929 58 9 3 3 NUM cet-3929 58 10 . . PUNCT cet-3929 58 11 random random ADJ cet-3929 58 12 forest forest NOUN cet-3929 58 13 random random ADJ cet-3929 58 14 forest forest NOUN cet-3929 58 15 is be AUX cet-3929 58 16 a a DET cet-3929 58 17 new new ADJ cet-3929 58 18 ensemble ensemble ADJ cet-3929 58 19 classifier classifier NOUN cet-3929 58 20 proposed propose VERB cet-3929 58 21 by by ADP cet-3929 58 22 breiman breiman NOUN cet-3929 58 23 in in ADP cet-3929 58 24 2001 2001 NUM cet-3929 58 25 . . PUNCT cet-3929 59 1 it it PRON cet-3929 59 2 adopts adopt VERB cet-3929 59 3 the the DET cet-3929 59 4 classification classification NOUN cet-3929 59 5 and and CCONJ cet-3929 59 6 regression regression NOUN cet-3929 59 7 tree tree NOUN cet-3929 59 8 ( ( PUNCT cet-3929 59 9 cart cart NOUN cet-3929 59 10 ) ) PUNCT cet-3929 59 11 as as ADP cet-3929 59 12 a a DET cet-3929 59 13 weak weak ADJ cet-3929 59 14 classifier classifier NOUN cet-3929 59 15 , , PUNCT cet-3929 59 16 and and CCONJ cet-3929 59 17 the the DET cet-3929 59 18 bagging bagging NOUN cet-3929 59 19 method method NOUN cet-3929 59 20 is be AUX cet-3929 59 21 used use VERB cet-3929 59 22 to to PART cet-3929 59 23 generate generate VERB cet-3929 59 24 different different ADJ cet-3929 59 25 training training NOUN cet-3929 59 26 386 386 NUM cet-3929 59 27 sets set NOUN cet-3929 59 28 ( ( PUNCT cet-3929 59 29 breiman breiman NOUN cet-3929 59 30 , , PUNCT cet-3929 59 31 1984 1984 NUM cet-3929 59 32 ) ) PUNCT cet-3929 59 33 . . PUNCT cet-3929 60 1 in in ADP cet-3929 60 2 the the DET cet-3929 60 3 construction construction NOUN cet-3929 60 4 of of ADP cet-3929 60 5 a a DET cet-3929 60 6 single single ADJ cet-3929 60 7 decision decision NOUN cet-3929 60 8 tree tree NOUN cet-3929 60 9 , , PUNCT cet-3929 60 10 random random ADJ cet-3929 60 11 selection selection NOUN cet-3929 60 12 of of ADP cet-3929 60 13 the the DET cet-3929 60 14 features feature NOUN cet-3929 60 15 of of ADP cet-3929 60 16 the the DET cet-3929 60 17 internal internal ADJ cet-3929 60 18 nodes node NOUN cet-3929 60 19 is be AUX cet-3929 60 20 used use VERB cet-3929 60 21 to to PART cet-3929 60 22 split split VERB cet-3929 60 23 the the DET cet-3929 60 24 properties property NOUN cet-3929 60 25 of of ADP cet-3929 60 26 the the DET cet-3929 60 27 data datum NOUN cet-3929 60 28 set set VERB cet-3929 60 29 . . PUNCT cet-3929 61 1 the the DET cet-3929 61 2 combination combination NOUN cet-3929 61 3 of of ADP cet-3929 61 4 the the DET cet-3929 61 5 bagging bagging NOUN cet-3929 61 6 method method NOUN cet-3929 61 7 , , PUNCT cet-3929 61 8 the the DET cet-3929 61 9 cart cart NOUN cet-3929 61 10 algorithm algorithm NOUN cet-3929 61 11 , , PUNCT cet-3929 61 12 and and CCONJ cet-3929 61 13 the the DET cet-3929 61 14 random random ADJ cet-3929 61 15 selection selection NOUN cet-3929 61 16 of of ADP cet-3929 61 17 features feature NOUN cet-3929 61 18 makes make VERB cet-3929 61 19 random random ADJ cet-3929 61 20 forest forest NOUN cet-3929 61 21 can can AUX cet-3929 61 22 tolerate tolerate VERB cet-3929 61 23 noise noise NOUN cet-3929 61 24 better well ADV cet-3929 61 25 and and CCONJ cet-3929 61 26 get get VERB cet-3929 61 27 better well ADJ cet-3929 61 28 classification classification NOUN cet-3929 61 29 performance performance NOUN cet-3929 61 30 . . PUNCT cet-3929 62 1 3.1 3.1 NUM cet-3929 62 2 decision decision NOUN cet-3929 62 3 tree tree NOUN cet-3929 62 4 the the DET cet-3929 62 5 base base NOUN cet-3929 62 6 classifier classifier NOUN cet-3929 62 7 of of ADP cet-3929 62 8 random random ADJ cet-3929 62 9 forest forest NOUN cet-3929 62 10 is be AUX cet-3929 62 11 decision decision NOUN cet-3929 62 12 tree tree NOUN cet-3929 62 13 , , PUNCT cet-3929 62 14 the the DET cet-3929 62 15 data data NOUN cet-3929 62 16 structure structure NOUN cet-3929 62 17 of of ADP cet-3929 62 18 decision decision NOUN cet-3929 62 19 tree tree NOUN cet-3929 62 20 is be AUX cet-3929 62 21 used use VERB cet-3929 62 22 to to PART cet-3929 62 23 deal deal VERB cet-3929 62 24 with with ADP cet-3929 62 25 business business NOUN cet-3929 62 26 logic logic NOUN cet-3929 62 27 . . PUNCT cet-3929 63 1 the the DET cet-3929 63 2 leaf leaf NOUN cet-3929 63 3 node node NOUN cet-3929 63 4 in in ADP cet-3929 63 5 the the DET cet-3929 63 6 decision decision NOUN cet-3929 63 7 tree tree NOUN cet-3929 63 8 is be AUX cet-3929 63 9 the the DET cet-3929 63 10 result result NOUN cet-3929 63 11 of of ADP cet-3929 63 12 classification classification NOUN cet-3929 63 13 , , PUNCT cet-3929 63 14 and and CCONJ cet-3929 63 15 non non ADJ cet-3929 63 16 - - ADJ cet-3929 63 17 leaf leaf ADJ cet-3929 63 18 node node NOUN cet-3929 63 19 is be AUX cet-3929 63 20 the the DET cet-3929 63 21 decision decision NOUN cet-3929 63 22 node node NOUN cet-3929 63 23 ( ( PUNCT cet-3929 63 24 quinlan quinlan PROPN cet-3929 63 25 , , PUNCT cet-3929 63 26 1986 1986 NUM cet-3929 63 27 ) ) PUNCT cet-3929 63 28 . . PUNCT cet-3929 64 1 the the DET cet-3929 64 2 classification classification NOUN cet-3929 64 3 of of ADP cet-3929 64 4 decision decision NOUN cet-3929 64 5 tree tree NOUN cet-3929 64 6 is be AUX cet-3929 64 7 divided divide VERB cet-3929 64 8 into into ADP cet-3929 64 9 three three NUM cet-3929 64 10 parts part NOUN cet-3929 64 11 . . PUNCT cet-3929 65 1 firstly firstly ADV cet-3929 65 2 , , PUNCT cet-3929 65 3 a a DET cet-3929 65 4 decision decision NOUN cet-3929 65 5 tree tree NOUN cet-3929 65 6 is be AUX cet-3929 65 7 constructed construct VERB cet-3929 65 8 by by ADP cet-3929 65 9 determining determine VERB cet-3929 65 10 the the DET cet-3929 65 11 structure structure NOUN cet-3929 65 12 of of ADP cet-3929 65 13 the the DET cet-3929 65 14 training training NOUN cet-3929 65 15 data datum NOUN cet-3929 65 16 set set VERB cet-3929 65 17 on on ADP cet-3929 65 18 each each DET cet-3929 65 19 non non ADJ cet-3929 65 20 - - ADJ cet-3929 65 21 leaf leaf ADJ cet-3929 65 22 node node NOUN cet-3929 65 23 . . PUNCT cet-3929 66 1 then then ADV cet-3929 66 2 , , PUNCT cet-3929 66 3 the the DET cet-3929 66 4 path path NOUN cet-3929 66 5 of of ADP cet-3929 66 6 the the DET cet-3929 66 7 root root NOUN cet-3929 66 8 node node NOUN cet-3929 66 9 to to ADP cet-3929 66 10 the the DET cet-3929 66 11 leaf leaf NOUN cet-3929 66 12 node node NOUN cet-3929 66 13 is be AUX cet-3929 66 14 analysed analyse VERB cet-3929 66 15 to to PART cet-3929 66 16 find find VERB cet-3929 66 17 the the DET cet-3929 66 18 classification classification NOUN cet-3929 66 19 rules rule NOUN cet-3929 66 20 . . PUNCT cet-3929 67 1 finally finally ADV cet-3929 67 2 , , PUNCT cet-3929 67 3 the the DET cet-3929 67 4 test test NOUN cet-3929 67 5 data datum NOUN cet-3929 67 6 set set VERB cet-3929 67 7 is be AUX cet-3929 67 8 classified classify VERB cet-3929 67 9 by by ADP cet-3929 67 10 these these DET cet-3929 67 11 rules rule NOUN cet-3929 67 12 . . PUNCT cet-3929 68 1 decision decision NOUN cet-3929 68 2 tree tree NOUN cet-3929 68 3 only only ADV cet-3929 68 4 outputs output VERB cet-3929 68 5 a a DET cet-3929 68 6 classification classification NOUN cet-3929 68 7 result result NOUN cet-3929 68 8 for for ADP cet-3929 68 9 a a DET cet-3929 68 10 data datum NOUN cet-3929 68 11 , , PUNCT cet-3929 68 12 because because SCONJ cet-3929 68 13 there there PRON cet-3929 68 14 is be VERB cet-3929 68 15 only only ADV cet-3929 68 16 one one NUM cet-3929 68 17 path path NOUN cet-3929 68 18 from from ADP cet-3929 68 19 the the DET cet-3929 68 20 root root NOUN cet-3929 68 21 node node NOUN cet-3929 68 22 to to ADP cet-3929 68 23 any any DET cet-3929 68 24 leaf leaf NOUN cet-3929 68 25 node node NOUN cet-3929 68 26 . . PUNCT cet-3929 69 1 in in ADP cet-3929 69 2 general general ADJ cet-3929 69 3 , , PUNCT cet-3929 69 4 the the DET cet-3929 69 5 decision decision NOUN cet-3929 69 6 tree tree NOUN cet-3929 69 7 is be AUX cet-3929 69 8 regarded regard VERB cet-3929 69 9 as as ADP cet-3929 69 10 a a DET cet-3929 69 11 single single ADJ cet-3929 69 12 classifier classifier NOUN cet-3929 69 13 . . PUNCT cet-3929 70 1 3.2 3.2 NUM cet-3929 70 2 bagging bagging NOUN cet-3929 70 3 bagging bagging NOUN cet-3929 70 4 algorithm algorithm NOUN cet-3929 70 5 is be AUX cet-3929 70 6 proposed propose VERB cet-3929 70 7 by by ADP cet-3929 70 8 breiman breiman NOUN cet-3929 70 9 in in ADP cet-3929 70 10 1996 1996 NUM cet-3929 70 11 , , PUNCT cet-3929 70 12 it it PRON cet-3929 70 13 generates generate VERB cet-3929 70 14 different different ADJ cet-3929 70 15 component component NOUN cet-3929 70 16 classifiers classifier NOUN cet-3929 70 17 by by ADP cet-3929 70 18 different different ADJ cet-3929 70 19 training training NOUN cet-3929 70 20 samples sample NOUN cet-3929 70 21 ( ( PUNCT cet-3929 70 22 breiman breiman NOUN cet-3929 70 23 , , PUNCT cet-3929 70 24 1996 1996 NUM cet-3929 70 25 ) ) PUNCT cet-3929 70 26 . . PUNCT cet-3929 71 1 bagging bag VERB cet-3929 71 2 algorithm algorithm NOUN cet-3929 71 3 is be AUX cet-3929 71 4 based base VERB cet-3929 71 5 on on ADP cet-3929 71 6 bootstrap bootstrap NOUN cet-3929 71 7 sampling sampling NOUN cet-3929 71 8 method method NOUN cet-3929 71 9 , , PUNCT cet-3929 71 10 which which PRON cet-3929 71 11 means mean VERB cet-3929 71 12 that that SCONJ cet-3929 71 13 the the DET cet-3929 71 14 training training NOUN cet-3929 71 15 sample sample NOUN cet-3929 71 16 set set VERB cet-3929 71 17 tset tset NOUN cet-3929 71 18 is be AUX cet-3929 71 19 randomly randomly ADV cet-3929 71 20 selected select VERB cet-3929 71 21 from from ADP cet-3929 71 22 the the DET cet-3929 71 23 original original ADJ cet-3929 71 24 sample sample NOUN cet-3929 71 25 set set VERB cet-3929 71 26 s s PROPN cet-3929 71 27 , , PUNCT cet-3929 71 28 and and CCONJ cet-3929 71 29 the the DET cet-3929 71 30 number number NOUN cet-3929 71 31 of of ADP cet-3929 71 32 sample sample NOUN cet-3929 71 33 set set VERB cet-3929 71 34 tset tset NOUN cet-3929 71 35 is be AUX cet-3929 71 36 the the DET cet-3929 71 37 same same ADJ cet-3929 71 38 as as ADP cet-3929 71 39 that that PRON cet-3929 71 40 of of ADP cet-3929 71 41 the the DET cet-3929 71 42 original original ADJ cet-3929 71 43 sample sample NOUN cet-3929 71 44 set set VERB cet-3929 71 45 s. s. PROPN cet-3929 71 46 assuming assume VERB cet-3929 71 47 that that SCONJ cet-3929 71 48 n n X cet-3929 71 49 is be AUX cet-3929 71 50 the the DET cet-3929 71 51 number number NOUN cet-3929 71 52 of of ADP cet-3929 71 53 samples sample NOUN cet-3929 71 54 in in ADP cet-3929 71 55 the the DET cet-3929 71 56 original original ADJ cet-3929 71 57 sample sample NOUN cet-3929 71 58 set set VERB cet-3929 71 59 s s PRON cet-3929 71 60 , , PUNCT cet-3929 71 61 when when SCONJ cet-3929 71 62 the the DET cet-3929 71 63 bootstrap bootstrap NOUN cet-3929 71 64 method method NOUN cet-3929 71 65 is be AUX cet-3929 71 66 used use VERB cet-3929 71 67 to to PART cet-3929 71 68 sample sample VERB cet-3929 71 69 from from ADP cet-3929 71 70 the the DET cet-3929 71 71 set set NOUN cet-3929 71 72 s s PROPN cet-3929 71 73 , , PUNCT cet-3929 71 74 the the DET cet-3929 71 75 probability probability NOUN cet-3929 71 76 of of ADP cet-3929 71 77 each each DET cet-3929 71 78 sample sample NOUN cet-3929 71 79 in in ADP cet-3929 71 80 s s PRON cet-3929 71 81 that that PRON cet-3929 71 82 is be AUX cet-3929 71 83 not not PART cet-3929 71 84 extracted extract VERB cet-3929 71 85 is be AUX cet-3929 71 86 ( ( PUNCT cet-3929 71 87 1 1 NUM cet-3929 71 88 - - SYM cet-3929 71 89 1 1 NUM cet-3929 71 90 / / SYM cet-3929 71 91 n)n n)n NOUN cet-3929 71 92 . . PUNCT cet-3929 72 1 if if SCONJ cet-3929 72 2 n n PRON cet-3929 72 3 is be AUX cet-3929 72 4 very very ADV cet-3929 72 5 large large ADJ cet-3929 72 6 , , PUNCT cet-3929 72 7 ( ( PUNCT cet-3929 72 8 1 1 NUM cet-3929 72 9 - - SYM cet-3929 72 10 1 1 NUM cet-3929 72 11 / / SYM cet-3929 72 12 n)n n)n NOUN cet-3929 72 13 0.368 0.368 PROPN cet-3929 72 14 , , PUNCT cet-3929 72 15 it it PRON cet-3929 72 16 means mean VERB cet-3929 72 17 that that SCONJ cet-3929 72 18 nearly nearly ADV cet-3929 72 19 37 37 NUM cet-3929 72 20 % % NOUN cet-3929 72 21 samples sample NOUN cet-3929 72 22 of of ADP cet-3929 72 23 the the DET cet-3929 72 24 original original ADJ cet-3929 72 25 set set NOUN cet-3929 72 26 s s PART cet-3929 72 27 does do AUX cet-3929 72 28 not not PART cet-3929 72 29 appear appear VERB cet-3929 72 30 in in ADP cet-3929 72 31 the the DET cet-3929 72 32 tset tset NOUN cet-3929 72 33 . . PUNCT cet-3929 73 1 by by ADP cet-3929 73 2 constructing construct VERB cet-3929 73 3 different different ADJ cet-3929 73 4 training training NOUN cet-3929 73 5 sets set NOUN cet-3929 73 6 , , PUNCT cet-3929 73 7 the the DET cet-3929 73 8 difference difference NOUN cet-3929 73 9 between between ADP cet-3929 73 10 the the DET cet-3929 73 11 classifiers classifier NOUN cet-3929 73 12 is be AUX cet-3929 73 13 increased increase VERB cet-3929 73 14 , , PUNCT cet-3929 73 15 that that PRON cet-3929 73 16 is be AUX cet-3929 73 17 the the DET cet-3929 73 18 reason reason NOUN cet-3929 73 19 why why SCONJ cet-3929 73 20 bagging bagging NOUN cet-3929 73 21 method method NOUN cet-3929 73 22 can can AUX cet-3929 73 23 improve improve VERB cet-3929 73 24 the the DET cet-3929 73 25 generalization generalization NOUN cet-3929 73 26 ability ability NOUN cet-3929 73 27 of of ADP cet-3929 73 28 the the DET cet-3929 73 29 combined combined ADJ cet-3929 73 30 classifiers classifier NOUN cet-3929 73 31 . . PUNCT cet-3929 74 1 through through ADP cet-3929 74 2 the the DET cet-3929 74 3 t t PROPN cet-3929 74 4 round round NOUN cet-3929 74 5 of of ADP cet-3929 74 6 training training NOUN cet-3929 74 7 , , PUNCT cet-3929 74 8 a a DET cet-3929 74 9 classifiers classifier NOUN cet-3929 74 10 sequence sequence NOUN cet-3929 74 11   PROPN cet-3929 74 12 1 1 NOUN cet-3929 74 13 2 2 NUM cet-3929 74 14 , , PUNCT cet-3929 74 15 , , PUNCT cet-3929 74 16 ... ... PUNCT cet-3929 74 17 , , PUNCT cet-3929 74 18 tc tc ADP cet-3929 74 19 c c X cet-3929 74 20 c c NOUN cet-3929 74 21 is be AUX cet-3929 74 22 got get VERB cet-3929 74 23 . . PUNCT cet-3929 75 1 the the DET cet-3929 75 2 final final ADJ cet-3929 75 3 classification classification NOUN cet-3929 75 4 results result NOUN cet-3929 75 5 are be AUX cet-3929 75 6 obtained obtain VERB cet-3929 75 7 by by ADP cet-3929 75 8 the the DET cet-3929 75 9 simple simple ADJ cet-3929 75 10 majority majority NOUN cet-3929 75 11 voting voting NOUN cet-3929 75 12 method method NOUN cet-3929 75 13 or or CCONJ cet-3929 75 14 simple simple ADJ cet-3929 75 15 averaging averaging NOUN cet-3929 75 16 method method NOUN cet-3929 75 17 with with ADP cet-3929 75 18 these these DET cet-3929 75 19 classifiers classifier NOUN cet-3929 75 20 sequence sequence NOUN cet-3929 75 21 . . PUNCT cet-3929 76 1 3.2 3.2 NUM cet-3929 76 2 the the DET cet-3929 76 3 implementation implementation NOUN cet-3929 76 4 of of ADP cet-3929 76 5 random random ADJ cet-3929 76 6 forest forest NOUN cet-3929 76 7 random random ADJ cet-3929 76 8 forest forest NOUN cet-3929 76 9 is be AUX cet-3929 76 10 based base VERB cet-3929 76 11 on on ADP cet-3929 76 12 k k PROPN cet-3929 76 13 decision decision NOUN cet-3929 76 14 tree tree NOUN cet-3929 76 15 classification classification NOUN cet-3929 76 16 model model NOUN cet-3929 76 17 { { PUNCT cet-3929 76 18 h(x h(x PROPN cet-3929 76 19 , , PUNCT cet-3929 76 20 k),k=1,2, k),k=1,2, X cet-3929 76 21 … … PUNCT cet-3929 76 22 ,t ,t PUNCT cet-3929 76 23 } } PUNCT cet-3929 76 24 , , PUNCT cet-3929 76 25 where where SCONJ cet-3929 76 26 , , PUNCT cet-3929 76 27 x x X cet-3929 76 28 is be AUX cet-3929 76 29 the the DET cet-3929 76 30 inputs input NOUN cet-3929 76 31 , , PUNCT cet-3929 76 32 k k PRON cet-3929 76 33 is be AUX cet-3929 76 34 independent independent ADJ cet-3929 76 35 and and CCONJ cet-3929 76 36 identically identically ADV cet-3929 76 37 distributed distribute VERB cet-3929 76 38 random random ADJ cet-3929 76 39 vectors vector NOUN cet-3929 76 40 . . PUNCT cet-3929 77 1 for for ADP cet-3929 77 2 each each DET cet-3929 77 3 input input NOUN cet-3929 77 4 x x X cet-3929 77 5 , , PUNCT cet-3929 77 6 each each DET cet-3929 77 7 decision decision NOUN cet-3929 77 8 tree tree NOUN cet-3929 77 9 has have VERB cet-3929 77 10 one one NUM cet-3929 77 11 vote vote NOUN cet-3929 77 12 . . PUNCT cet-3929 78 1 the the DET cet-3929 78 2 classification classification NOUN cet-3929 78 3 idea idea NOUN cet-3929 78 4 of of ADP cet-3929 78 5 random random ADJ cet-3929 78 6 forest forest NOUN cet-3929 78 7 classification classification NOUN cet-3929 78 8 is be AUX cet-3929 78 9 as as SCONJ cet-3929 78 10 follows follow VERB cet-3929 78 11 . . PUNCT cet-3929 79 1 assuming assume VERB cet-3929 79 2 that that SCONJ cet-3929 79 3 the the DET cet-3929 79 4 training training NOUN cet-3929 79 5 sample sample NOUN cet-3929 79 6 set set VERB cet-3929 79 7 d d NOUN cet-3929 79 8 including include VERB cet-3929 79 9 nd nd NOUN cet-3929 79 10 samples sample NOUN cet-3929 79 11 , , PUNCT cet-3929 79 12 and and CCONJ cet-3929 79 13 a a DET cet-3929 79 14 new new ADJ cet-3929 79 15 nd nd NOUN cet-3929 79 16 samples sample NOUN cet-3929 79 17 set set VERB cet-3929 79 18 are be AUX cet-3929 79 19 selected select VERB cet-3929 79 20 by by ADP cet-3929 79 21 boostrap boostrap NOUN cet-3929 79 22 method method NOUN cet-3929 79 23 from from ADP cet-3929 79 24 set set VERB cet-3929 79 25 d. d. PROPN cet-3929 79 26 then then ADV cet-3929 79 27 , , PUNCT cet-3929 79 28 f f PROPN cet-3929 79 29 features feature NOUN cet-3929 79 30 are be AUX cet-3929 79 31 selected select VERB cet-3929 79 32 from from ADP cet-3929 79 33 features feature NOUN cet-3929 79 34 of of ADP cet-3929 79 35 tset tset NOUN cet-3929 79 36 to to PART cet-3929 79 37 construct construct VERB cet-3929 79 38 the the DET cet-3929 79 39 decision decision NOUN cet-3929 79 40 trees tree NOUN cet-3929 79 41 , , PUNCT cet-3929 79 42 so so SCONJ cet-3929 79 43 t t X cet-3929 79 44 decision decision NOUN cet-3929 79 45 tree tree NOUN cet-3929 79 46 classifiers classifier NOUN cet-3929 79 47 are be AUX cet-3929 79 48 generated generate VERB cet-3929 79 49 . . PUNCT cet-3929 80 1 finally finally ADV cet-3929 80 2 , , PUNCT cet-3929 80 3 the the DET cet-3929 80 4 decision decision NOUN cet-3929 80 5 tree tree NOUN cet-3929 80 6 is be AUX cet-3929 80 7 combined combine VERB cet-3929 80 8 to to PART cet-3929 80 9 form form VERB cet-3929 80 10 a a DET cet-3929 80 11 random random ADJ cet-3929 80 12 forest forest NOUN cet-3929 80 13 . . PUNCT cet-3929 81 1 the the DET cet-3929 81 2 key key ADJ cet-3929 81 3 steps step NOUN cet-3929 81 4 of of ADP cet-3929 81 5 the the DET cet-3929 81 6 random random ADJ cet-3929 81 7 forest forest NOUN cet-3929 81 8 algorithm algorithm NOUN cet-3929 81 9 are be AUX cet-3929 81 10 as as SCONJ cet-3929 81 11 follows follow VERB cet-3929 81 12 1 1 NUM cet-3929 81 13 ) ) PUNCT cet-3929 81 14 get get VERB cet-3929 81 15 data data NOUN cet-3929 81 16 training training NOUN cet-3929 81 17 sets set NOUN cet-3929 81 18 . . PUNCT cet-3929 82 1 nd nd NOUN cet-3929 82 2 samples sample NOUN cet-3929 82 3 are be AUX cet-3929 82 4 selected select VERB cet-3929 82 5 by by ADP cet-3929 82 6 boostrap boostrap NOUN cet-3929 82 7 method method NOUN cet-3929 82 8 from from ADP cet-3929 82 9 d d PROPN cet-3929 82 10 , , PUNCT cet-3929 82 11 and and CCONJ cet-3929 82 12 the the DET cet-3929 82 13 iteration iteration NOUN cet-3929 82 14 of of ADP cet-3929 82 15 the the DET cet-3929 82 16 above above ADJ cet-3929 82 17 repeats repeat NOUN cet-3929 82 18 t t PROPN cet-3929 82 19 times time NOUN cet-3929 82 20 , , PUNCT cet-3929 82 21 this this DET cet-3929 82 22 method method NOUN cet-3929 82 23 is be AUX cet-3929 82 24 called call VERB cet-3929 82 25 bagging bag VERB cet-3929 82 26 . . PUNCT cet-3929 83 1 then then ADV cet-3929 83 2 data datum NOUN cet-3929 83 3 training training NOUN cet-3929 83 4 set set VERB cet-3929 83 5 di(i=1,2, di(i=1,2, NOUN cet-3929 83 6 … … PUNCT cet-3929 83 7 ,t ,t X cet-3929 83 8 ) ) PUNCT cet-3929 83 9 is be AUX cet-3929 83 10 got get VERB cet-3929 83 11 . . PUNCT cet-3929 84 1 2 2 X cet-3929 84 2 ) ) PUNCT cet-3929 84 3 construct construct VERB cet-3929 84 4 decision decision NOUN cet-3929 84 5 tree tree NOUN cet-3929 84 6 . . PUNCT cet-3929 85 1 k k PROPN cet-3929 85 2 features feature NOUN cet-3929 85 3 are be AUX cet-3929 85 4 selected select VERB cet-3929 85 5 from from ADP cet-3929 85 6 k k PROPN cet-3929 85 7 features feature NOUN cet-3929 85 8 of of ADP cet-3929 85 9 tset tset NOUN cet-3929 85 10 to to PART cet-3929 85 11 construct construct VERB cet-3929 85 12 the the DET cet-3929 85 13 decision decision NOUN cet-3929 85 14 trees tree NOUN cet-3929 85 15 , , PUNCT cet-3929 85 16 where where SCONJ cet-3929 85 17 k<