New Developments in Unsupervised Outlier Detection is popular PDF and ePub book, written by Xiaochun Wang in 2020-11-24, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, New Developments in Unsupervised Outlier Detection can be Read Online from any device for your convenience.
New Developments in Unsupervised Outlier Detection Book PDF Summary
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.
Detail Book of New Developments in Unsupervised Outlier Detection PDF
- Author : Xiaochun Wang
- Release : 24 November 2020
- Publisher : Springer Nature
- ISBN : 9789811595196
- Genre : Technology & Engineering
- Total Page : 287 pages
- Language : English
- PDF File Size : 17,7 Mb
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