Feature selection in machine learning: A new perspective
Abstract
High-dimensional data analysis is a challenge for researchers and engineers in the fields of machine learning and data mining. Feature selection provides an effective way to solve this problem by removing irrelevant and redundant data, which can reduce computation time, improve learning accuracy, and facilitate a better understanding for the learning model or data. In this study, we discuss several frequently-used evaluation measures for feature...
Paper Details
Title
Feature selection in machine learning: A new perspective
Published Date
Jul 1, 2018
Journal
Volume
300
Pages
70 - 79
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