Browsing Department of Computer Science and Engineering (CSE) by Subject "Feature Selection"
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A Feature Group Weighting Method for Classifying High-Dimensional Big Data
(2019-11-25)Features hold the distinctive characteristics and intrinsic values of data. But it's of no use if the important information and pattern can not be extracted from the data coming from disparate sources and applications. ... -
A Hybrid Approach for Feature Subset Selection to Classify High-Dimensional Data
(2019-03-27)In this modern era, we need to deal with large dimension of data set every day. Be it on social media, business, medicine or gene expression there are thousands of millions data to be processed everyday. So dealing with ...