Outlier Detection: Techniques and Applications A Data Mining Perspective /

This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its sig...

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Bibliographic Details
Main Authors: Ranga Suri, N. N. R. (Author), Murty M, Narasimha (Author), Athithan, G. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Intelligent Systems Reference Library, 155
Subjects:
Computational intelligence.
Data mining.
System theory.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Complex Systems.
Online Access:Full-text access
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Table of Contents:
  • Introduction
  • Outlier Detection
  • Research Issues in Outlier Detection
  • Computational Preliminaries
  • Outlier Detection in Categorical Data
  • Outliers in High Dimensional Data.

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