FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data stream
Crossref DOI link: https://doi.org/10.1631/FITEE.1800038
Published Online: 2019-04-19
Published Print: 2019-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Li, Bin http://orcid.org/0000-0003-0876-2694
Wang, Yi-jie
Yang, Dong-sheng
Li, Yong-mou
Ma, Xing-kong
Text and Data Mining valid from 2019-03-01
Article History
Received: 15 January 2018
Accepted: 13 May 2018
First Online: 19 April 2019