Feature Selection for Data and Pattern Recognition

Lakhmi C. Jain

ISBN 10: 3662508451 / ISBN 13: 9783662508459

Published by Springer Berlin Heidelberg Sep 2016, 2016

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies. 376 pp. Englisch.

Seller Inventory # 9783662508459

Bibliographic Details

• Title: Feature Selection for Data and Pattern Recognition
• Publisher: Springer Berlin Heidelberg Sep 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3662508451
• ISBN 13: 9783662508459
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.

Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks.

This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.