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Feature Selection for Data and Pattern Recognition: 584 (Studies in Computational Intelligence) - Tapa dura
Sinopsis
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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<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>
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- EditorialSpringer
- Año de publicación2015
- ISBN 10 3662456192
- ISBN 13 9783662456194
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas376
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Feature Selection for Data and Pattern Recognition
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ISBN 10: 3662456192
ISBN 13: 9783662456194
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Feature Selection for Data and Pattern Recognition
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Springer Berlin Heidelberg, 2015
ISBN 10: 3662456192
ISBN 13: 9783662456194
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Librería: Buchpark, Trebbin, Alemania
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Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence, 584, Band 584) [Hardcover] Sta?czyk
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Feature Selection for Data and Pattern Recognition
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Springer Berlin Heidelberg, 2015
ISBN 10: 3662456192
ISBN 13: 9783662456194
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research trends in feature selection for data and pattern recognitionPoints to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and rank. Nº de ref. del artículo: 11177975
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Feature Selection for Data and Pattern Recognition
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Springer Berlin Heidelberg Jan 2015, 2015
ISBN 10: 3662456192
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Buch. Condición: Neu. 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. Nº de ref. del artículo: 9783662456194
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Feature Selection for Data and Pattern Recognition
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Springer Berlin Heidelberg, 2015
ISBN 10: 3662456192
ISBN 13: 9783662456194
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783662456194
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Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence, 584)
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Feature Selection for Data and Pattern Recognition
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2015, 2015
ISBN 10: 3662456192
ISBN 13: 9783662456194
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Buch. Condición: Neu. 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. Nº de ref. del artículo: 9783662456194
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Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence, 584)
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Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence, 584)
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