id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-1701	Pan, Xiaofei	Time series data anomaly detection based on LSTM-GAN	2022	3	.pdf	application/pdf	1475	90	55	Abstract: With the improvement of modern technology, a large number of time series data have been produced. The anomaly detection of time series data can provide relevant information for key situations faced by various fields.	cache/fcis-1701.pdf	txt/fcis-1701.txt