Feature Selection for Data and Pattern Recognition

Lakhmi C. Jain

ISBN 10: 3662456192 / ISBN 13: 9783662456194

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2015, 2015

Riguardo questo articolo

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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch.

Codice articolo 9783662456194

Dati bibliografici

• Titolo: Feature Selection for Data and Pattern Recognition
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2015
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 3662456192
• ISBN 13: 9783662456194
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 26 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 26 millimetri di profondità
• Peso: 729 grammi

Descrizione articolo

Riassunto

<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>

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>