Survey on Exception Rules and Anomaly Detection

Authors

  • S. Senthil Kumar   Ph.D. Research Scholar, Department of Computer Science, Kongunadu Arts and Science College, (Autonomous), Coimbatore, Tamil Nadu, India
  • Dr. S. Mythili  Associate Professor & Head, Department of Information Technology, Kongunadu Arts and Science College, (Autonomous), Coimbatore, Tamil Nadu, India

Keywords:

Anomaly detection, anomalous rule, exception rule.

Abstract

This paper discusses about literature survey of exception rules and anomaly detection. This survey provides an overview of the research on anomaly detection. There exists a great variety of tools used for detecting outliers, exceptions or anomalies: expert systems, neural networks, clustering techniques, and association rules are some of them.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-12-31

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
S. Senthil Kumar , Dr. S. Mythili, " Survey on Exception Rules and Anomaly Detection , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.521-525, November-December-2017.