An adaptive algorithm for anomaly and novelty detection in evolving data streams-Reference-Cited by-同舟云学术

An adaptive algorithm for anomaly and novelty detection in evolving data streams

Published:2018-05-12 Issue:6 Volume:32 Page:1597-1633
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Bouguelia Mohamed-Rafik^ORCID,Nowaczyk Slawomir,Payberah Amir H.

Funder

Halmstad University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/article/10.1007/s10618-018-0571-0/fulltext.html

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4. Bifet A, Pfahringer B, Read J, Holmes G (2013) Efficient data stream classification via probabilistic adaptive windows. In: Proceedings of the 28th annual ACM symposium on applied computing. ACM, pp 801–806

5. Blackard JA, Dean DJ (1999) Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables. Comput Electron Agric 24(3):131–151

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