A Feature Selection based on perturbation theory
نویسندگان
چکیده
منابع مشابه
Feature Selection Based on Information Theory
Feature selection is an essential component in all data mining applications. Ranking of futures was made by several inexpensive methods based on information theory. Accuracy of neural, similarity based and decision tree classifiers calculated with reduced number of features. Comparison with computationally more expensive feature elimination methods was made.
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ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2019
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2019.02.028