Anomaly Detection Principles and Algorithms

Anomaly Detection Principles and Algorithms

Hardcover(1st ed. 2017)

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Product Details

ISBN-13: 9783319675244
Publisher: Springer International Publishing
Publication date: 11/19/2017
Series: Terrorism, Security, and Computation
Edition description: 1st ed. 2017
Pages: 217
Sales rank: 1,100,362
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

1 Introduction.- 2 Anomaly Detection.- 3 Distance-based Anomaly Detection Approaches.- 4 Clustering-based Anomaly Detection Approaches.- 5 Model-based Anomaly Detection Approaches.- 6 Distance and Density Based Approaches.- 7 Rank Based Approaches.- 8 Ensemble Methods.- 9 Algorithms for Time Series Data.- Datasets for Evaluation.- Datasets for Time Series Experiments.

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