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- W2024278568 abstract "A supervised, global and static algorithm for the discretization of continuous features is presented in this paper. The proposed discretization algorithm extends Gini-criterion concept. The algorithm hybridizes binning, and entropy method based on the amendment from 1R and Ent-Minimum Description Length Principle (MDLP) method. The proposed algorithm is comparable due to its simplicity, yet need further improvement and testing using various data sets. The proposed algorithm can be a good alternative method in the entropy-based discretization family." @default.
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- W2024278568 date "2012-01-01" @default.
- W2024278568 modified "2023-10-05" @default.
- W2024278568 title "A Discretization Algorithm Based on Extended Gini Criterion" @default.
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- W2024278568 doi "https://doi.org/10.7763/ijmlc.2012.v2.115" @default.
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