id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-27521	Wu, Wenjuan	Time-series Anomaly Detection Study Based on Deep Learning	2024	8	.pdf	application/pdf	5326	270	41	Clustering- based anomaly detection combines clustering with anomaly detection algorithms, using existing clustering algorithms directly or indirectly to alleviate the problem of low detection efficiency in high-dimensional sparse data. These datasets cover time series with different time intervals and a wide range of patterns, and are commonly used to evaluate the performance of time series anomaly detection.	cache/ajst-27521.pdf	txt/ajst-27521.txt