Anomaly Detection Principles and Algorithms

Anomaly Detection Principles and Algorithms

Huang, HuaMing; Mohan, Chilukuri K.; Mehrotra, Kishan G.

Springer International Publishing AG

01/2018

217

Dura

Inglês

9783319675244

15 a 20 dias

617

Descrição não disponível.
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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Anomaly Detection;Data Mining;Rank Based Approach;Security Applications;Time Series Anomaly Detection;Outlier Detection;Clustering;Classification;Algorithms;Machine Learning;Statistical Pattern Recognition;Time Series;Ensemble Methods