New Developments in Unsupervised Outlier Detection

Language: English

Published by Springer Nature Singapore Nov 2020, 2020

9811595186 / 9789811595189

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This item is printed on demand - it takes 3-4 days longer - Neuware -This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors' setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such topics as our present understanding of unsupervised outlier detection in general; distance-based and density-based outlier detection in particular; and the applications of the latest findings to boundary point detection and novel object detection. The book also offers a new perspective on bridging the gap between k-nearest neighbor-based outlier detection and clustering-based outlier detection, laying the groundwork for future advances in unsupervised outlier detection research.The authors hope the algorithms and applications proposed here will serve as valuable resources for outlier detection researchers for years to come. 300 pp. Englisch.

Seller Inventory # 9789811595189

Title
New Developments in Unsupervised Outlier Detection
Author
Xiaochun Wang
Publisher
Springer Nature Singapore Nov 2020
Publication year
2020
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9811595186
ISBN 13
9789811595189
Item weight
617 grams
Dimensions
241x160x22 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

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