FAAD: an unsupervised fast and accurate anomaly detection...

Frontiers of Information Technology & Electronic Engineering 2019 / 3 Vol. 20; Iss. 3

FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data stream

Li, Bin, Wang, Yi-jie, Yang, Dong-sheng, Li, Yong-mou, Ma, Xing-kong
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Volume:
20
Language:
english
Journal:
Frontiers of Information Technology & Electronic Engineering
DOI:
10.1631/FITEE.1800038
Date:
March, 2019
File:
PDF, 999 KB
english, 2019
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