id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-2971	Yang, Le; Chen, Hua	A Network Intrusion Detection Model Based on Principal Component Analysis and Random Forest	2022	4	.pdf	application/pdf	3559	161	49	Point value PCA classifier is selected for initial data, and forest density is selected for random forest classification. Abstract: Network intrusion data has the characteristics of high dimension, nonlinearity and redundancy.	cache/fcis-2971.pdf	txt/fcis-2971.txt