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Applications of Outlier Analysis

  • Charu C. Aggarwal
Chapter

Abstract

Outlier analysis has numerous applications in a wide variety of domains such as the financial industry, quality control, fault diagnosis, intrusion detection, web analytics, and medical diagnosis. The applications of outlier analysis are so diverse, that it is impossible to cover all possibilities exhaustively in a single chapter. Therefore, the goal of this chapter is cover a wide spectrum of problem domains at a higher level, and how they map to the different techniques covered in this book.

Keywords

Intrusion Detection Anomaly Detection Intrusion Detection System Unsupervised Method Supervise Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Charu C. Aggarwal
    • 1
  1. 1.IBM T.J. Watson Research CenterNew YorkUSA

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