Feature Selection for Data and Pattern Recognition: 584 - Brossura

Brossura

ISBN 10: 3662508451 ISBN 13: 9783662508459

Casa editrice: Springer, 2016

Riassunto

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.

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Dalla quarta di copertina

<p>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. </p><p>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. </p><p>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. </p><p></p>

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2016
• ISBN 10: 3662508451
• ISBN 13: 9783662508459
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 376
• Redattore: Stańczyk Urszula, Jain Lakhmi C.
• Contatto del produttore: non disponibile