Outlier Analysis

• Main Author: Aggarwal, Charu C. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Edition: 2nd ed. 2017.
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Statistics.; Computer Science.; Data Mining and Knowledge Discovery.; Statistics and Computing/Statistics Programs.; Artificial Intelligence (incl. Robotics).

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can b...

Table of Contents:

• An Introduction to Outlier Analysis
• Probabilistic Models for Outlier Detection
• Linear Models for Outlier Detection
• Proximity-Based Outlier Detection
• High-Dimension Outlier Detection
• Outlier Ensembles
• Supervised Outlier Detection
• Categorical, Text, and Mixed Attribute Data
• Time Series and Streaming Outlier Detection
• Outlier Detection in Discrete Sequences
• Spatial Outlier Detection
• Outlier Detection in Graphs and Networks
• Applications of Outlier Analysis.