Filter-Based Feature Selection Using Information Theory and Binary Cuckoo Optimisation Algorithm

Dimensionality reduction is among the data mining process that is used to reduce the noise and complexity of features in various datasets. Feature selection (FS) is one of the most commonly used dimensionalities that reduces the unwanted features from the datasets. FS can be either wrapper or filter...

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Bibliographic Details
Main Authors: Ali Muhammad Usman, Umi Kalsom Yusof, Maziani Sabudin
Format: Article
Language:fas
Published: University of Tehran 2022-02-01
Series:Journal of Information Technology Management
Subjects:
Online Access:https://jitm.ut.ac.ir/article_84900_0a6603fdfdf3514291700cf7edb1497b.pdf