Detecting anomalous patterns in time-series data using sparse hierarchically parameterized transition matrices-Reference-Cited by-同舟云学术

Detecting anomalous patterns in time-series data using sparse hierarchically parameterized transition matrices

Published:2016-04-21 Issue:4 Volume:20 Page:1029-1043
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Milo Michael W.,Roan Michael J.

Funder

Self funded

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/article/10.1007/s10044-016-0544-0/fulltext.html

Reference18 articles.

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4. Gill J, Methods B (2009) A social and behavioral sciences approach, 2nd edn. Taylor and Fancis Group, Boca Raton

5. Patcha A, Park J-M (2007) An overview of anomaly detection techniques: existing solutions and latest technological trends. Comput Netw 51:3448–3470

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