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Feature Selection Methods Best Practices: Data Mining Approach
Subramanian Appavu Alias Balamurugan
Feature Selection Methods Best Practices: Data Mining Approach
Subramanian Appavu Alias Balamurugan
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.
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | June 25, 2012 |
ISBN13 | 9783659164514 |
Publishers | LAP LAMBERT Academic Publishing |
Pages | 64 |
Dimensions | 150 × 4 × 226 mm · 104 g |
Language | English |