Feature Selection Methods Best Practices: Data Mining Approach

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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, mean...

Paperback: 64 pages
Publisher: LAP LAMBERT Academic Publishing (June 26, 2012)
Language: English
ISBN-10: 3659164518
ISBN-13: 978-3659164514
Product Dimensions: 5.9 x 0.2 x 8.7 inches
Amazon Rank: 17095033
Format: PDF ePub Text djvu book

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ther 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.