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612-822-4611
New Developments in Unsupervised Outlier Detection: Algorithms and Applications

New Developments in Unsupervised Outlier Detection: Algorithms and Applications

Hardcover

Technology & EngineeringDatabasesGeneral Computers

ISBN10: 9811595186
ISBN13: 9789811595189
Publisher: Springer
Published: Nov 25 2020
Pages: 277
Weight: 1.31
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
Overview and Contributions.- Developments in Unsupervised Outlier Detection Research.- A Fast Distance-Based Outlier Detection Technique Using A Divisive Hierarchical Clustering Algorithm.- A k-Nearest Neighbour Centroid Based Outlier Detection Method.- A Minimum Spanning Tree Clustering Inspired Outlier Detection Technique.- A k-Nearest Neighbour Spectral Clustering Based Outlier Detection Technique.- Enhancing Outlier Detection by Filtering Out Core Points and Border Points.- An Effective Boundary Point Detection Algorithm via k-Nearest Neighbours Based Centroid.- A Nearest Neighbour Classifier Based Automated On-Line Novel Visual Percept Detection Method.- Unsupervised Fraud Detection in Environmental Time Series Data.

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