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Hybrid Methods in Feature Selection: A Data Classification Perspective - Senthamarai Kannan Subramanian
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Senthamarai Kannan Subramanian:
Hybrid Methods in Feature Selection: A Data Classification Perspective - nouveau livre

ISBN: 9783844399240

ID: 92a7a1b756875f5b87db6a46346490fe

In recent years, data have become increasingly larger in both number of instances and number of features in many applications. This enormity may cause serious problems to many machine learning algorithms with respect to scalability and learning performance. Therefore, feature selection is essential for the machine learning algorithms while handling high dimensional datasets. Many traditional search methods have shown promising results in a number of feature selection problems. However, as the number of features increases extremely, most of these existing methods face the problem of intractable computational time. Since no single feature selection method could handle all requirements of feature selection in real world datasets, hybrid methods prsented here are the tested methods for effecive Feature Selection.One viable option is to apply a ranking feature selection method to obtain a manageable number of top ranked features which could be further handled by traditional feature selection methods for further analysis. Buch / Broschur

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Subramanian, Senthamarai Kannan: Hybrid Methods in Feature Selection: A Data Classification Perspective
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Subramanian, Senthamarai Kannan: Hybrid Methods in Feature Selection: A Data Classification Perspective - nouveau livre

ISBN: 9783844399240

ID: 104853176

Hybrid Feature Selection Methods are the proven methods for Large Scale Feature Selection Hybrid Feature Selection Methods are the proven methods for Large Scale Feature Selection Bücher > English, International > Gebundene Ausgaben

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Hybrid Methods in Feature Selection: A Data Classification Perspective Hybrid Feature Selection Methods are the proven methods for Large Scale Feature Selection - Subramanian, Senthamarai Kannan
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Subramanian, Senthamarai Kannan:
Hybrid Methods in Feature Selection: A Data Classification Perspective Hybrid Feature Selection Methods are the proven methods for Large Scale Feature Selection - nouveau livre

2011, ISBN: 3844399240

ID: A14519517

Kartoniert / Broschiert, mit Schutzumschlag neu, [PU:LAP Lambert Acad. Publ.]

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Hybrid Methods in Feature Selection: A Data Classification Perspective - Subramanian, Senthamarai Kannan
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Subramanian, Senthamarai Kannan:
Hybrid Methods in Feature Selection: A Data Classification Perspective - Livres de poche

2011, ISBN: 3844399240

Edition reliée, ID: 10635106

Hybrid Feature Selection Methods are the proven methods for Large Scale Feature Selection - Buch, gebundene Ausgabe, 64 S., Beilagen: Paperback, Erschienen: 2011 LAP Lambert Acad. Publ.

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Hybrid Methods in Feature Selection : A Data Classification Perspective - Subramanian, Senthamarai Kannan
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Subramanian, Senthamarai Kannan:
Hybrid Methods in Feature Selection : A Data Classification Perspective - nouveau livre

2011, ISBN: 3844399240

ID: 8369470229

[EAN: 9783844399240], Neubuch, This item is printed on demand for shipment within 3 working days.

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Détails sur le livre
Hybrid Methods in Feature Selection: A Data Classification Perspective

In recent years, data have become increasingly larger in both number of instances and number of features in many applications. This enormity may cause serious problems to many machine learning algorithms with respect to scalability and learning performance. Therefore, feature selection is essential for the machine learning algorithms while handling high dimensional datasets. Many traditional search methods have shown promising results in a number of feature selection problems. However, as the number of features increases extremely, most of these existing methods face the problem of intractable computational time. Since no single feature selection method could handle all requirements of feature selection in real world datasets, hybrid methods prsented here are the tested methods for effecive Feature Selection.One viable option is to apply a ranking feature selection method to obtain a manageable number of top ranked features which could be further handled by traditional feature selection methods for further analysis.

Informations détaillées sur le livre - Hybrid Methods in Feature Selection: A Data Classification Perspective


EAN (ISBN-13): 9783844399240
ISBN (ISBN-10): 3844399240
Version reliée
Livre de poche
Date de parution: 2011
Editeur: LAP Lambert Acad. Publ.

Livre dans la base de données depuis 27.12.2009 08:40:43
Livre trouvé récemment le 17.11.2017 00:44:28
ISBN/EAN: 3844399240

ISBN - Autres types d'écriture:
3-8443-9924-0, 978-3-8443-9924-0


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