New Developments in Unsupervised Outlier Detection eBook
Readzis program recommandation

New Developments in Unsupervised Outlier Detection

Algorithms and Applications

Xiaochun Wang, Xiali Wang, Mitch Wilkes

  • Springer

  • Publication date : 2020-11-24

Ce livre est accessible aux handicaps  See accessibility information
Add to basket
£149,50
Download | LCP DRM 🛈 Adobe DRM 🛈
Streaming
Add to my wish list
Image Louise Reader présentation

Louise Reader

Read on Louise Reader App.

badge apple Application Louise Reader
badge Android Application Louise Reader
Get  £22.42  by recommending this book

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.

About the book
Author
Xiaochun  Wang , Xiali  Wang , Mitch  Wilkes
Imprint
Springer
Collection
n.c
Publication date
2020-11-24
Pages
277 pages
Print ISBN
9789811595189
Language
English
Ebook informations
EAN PDF
9789811595196
Price
£149.50
Read more
Copy count 2
Print count 27
File size 9953 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9789811595196
Price
£149.50
Read more
Copy count 2
Print count 27
File size 45773 Ko
Ce livre est accessible aux handicaps   Informations accessibility
Compatibility

mobile-and-tablet To check the compatibility with your devices,
see help page

Xiaochun Wang received her B.S. degree from Beijing University and the Ph.D. degree from the Department of Electrical Engineering and Computer Science, Vanderbilt University, the United States of America. She is currently an Associate Professor of the School of Software Engineering at Xi’an Jiaotong University. Her research interests are in computer vision, signal processing, data mining, machine learning and pattern recognition.

Xia Li Wang received his Ph.D. degree from the Department of Computer Science, Northwest University, People's Republic of China, in 2005. He is a faculty member in the School of Information Engineering, Chang’an University, China. His research interests are in computer vision, signal processing, intelligent traffic system, and pattern recognition.

D. Mitchell Wilkes received the B.S.E.E. degree from Florida Atlantic, and the M.S.E.E. and Ph.D. degrees from Georgia Institute of Technology. His researchinterests include digital signal processing, image processing and computer vision, structurally adaptive systems, sonar, as well as signal modeling. He is a member of the IEEE and a faculty member at the Department of Electrical Engineering and Computer Science, Vanderbilt University. He is a member of the IEEE.        

You may also be interested in...

Sign up to get our latest ebook recommendations and special offers


Paiements sécurisés

Copyright © Numilog 2026, All rights reserved