Survey on Feature Selection for Data Reduction

Provided by: International Journal of Computer Applications
Topic: Storage
Format: PDF
The storage capabilities and advanced in data collection has led to an information load and the size of databases increases in dimensions, not only in rows but also in columns. Data Reduction (DR) plays a vital role as a data prepossessing techniques in the area of knowledge discovery from the huge collection of data. Feature Selection (FS) is one of the well known data reduction techniques, which deals with the reduction of attributes from the original data without affecting the main information content.

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