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Feature Selection Methods Best Practices

Autor Subramanian Appavu alias Balamurugan
en Limba Engleză Paperback – 25 iun 2012
Feature selection is a term commonly used in data mining to describe the tools and techniques available for reducing inputs to a manageable size for processing and analysis. Feature selection implies not only cardinality reduction, which means imposing an arbitrary or predefined cutoff on the number of attributes that can be considered when building a model, but also the choice of attributes, meaning that either the analyst or the modeling tool actively selects or discards attributes based on their usefulness for analysis. "Feature selection methods best Practices" is the mast reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and research scholars.
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Specificații

ISBN-13: 9783659164514
ISBN-10: 3659164518
Pagini: 64
Dimensiuni: 152 x 229 x 4 mm
Greutate: 0.1 kg
Editura: LAP LAMBERT ACADEMIC PUBLISHING AG & CO KG
Colecția LAP Lambert Academic Publishing

Notă biografică

Dr.S.Appavu Balamurugan, Professor & Research Coordinator, KLNCIT, Sivagangai, India. He received his PhD in Data mining from Anna University,Chennai. His research has been supported by UGC,India. He is a member of IEEE and CSI. He has published more than 30 research papers in reputed journal including ELSEVIER AND SPRINGER.