Sequential anomaly detection based on temporal-difference learning: Principles, models and case studies-Reference-Cited by-同舟云学术

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Sequential anomaly detection based on temporal-difference learning: Principles, models and case studies

Published:2010-06 Issue:3 Volume:10 Page:859-867
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Xu Xin

Publisher

Elsevier BV

Subject

Software

Reference29 articles.

1. Anomaly detection: a survey;Chandola;ACM Computing Surveys,2009

2. Predicting rare classes: can boosting make any weak learner strong?;Joshi,2002

3. Editorial: special issue on learning from imbalanced data sets;Chawla;SIGKDD Explorations,2004

4. A classification framework for anomaly detection;Steinwart;Journal of Machine Learning Research,2005

5. Specification-based anomaly detection: a new approach for detecting network intrusions;Sekar,2002

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