FEATURE SELECTION FRAMEWORK BASED ON FILTER MEASURES FOR HIGH DIMENSIONAL DATA
نویسندگان
چکیده
منابع مشابه
Feature Selection Framework Based on Filter Measures for High Dimensional Data
The increase of data volume in terms of number of features and instances becomes an immense challenge for feature selection algorithms. It increases the computational cost and decreases the accuracy of learning algorithms. This paper proposes a Feature Selection Comprehensive Framework (FSCF) based on filter measures for high dimensional data to produce optimal feature subset in efficient time....
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ژورنال
عنوان ژورنال: International Journal of Research in Engineering and Technology
سال: 2016
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2016.0517023