Empirical evaluation of feature subset selection based on a real-world data set
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چکیده
منابع مشابه
Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set
Selecting the right set of features for classification is one of the most important problems in designing a good classifier. Decision tree induction algorithms such as C4.5 have incorporated in their learning phase an automatic feature selection strategy while some other statistical classification algorithm require the feature subset to be selected in a preprocessing phase. It is well know that...
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ژورنال
عنوان ژورنال: Engineering Applications of Artificial Intelligence
سال: 2004
ISSN: 0952-1976
DOI: 10.1016/j.engappai.2004.03.005