Please use this identifier to cite or link to this item: https://doi.org/10.1109/69.617056
Title: Feature selection via discretization
Authors: Liu, H. 
Setiono, R. 
Keywords: Discretization
Feature selection
Pattern classification
Issue Date: 1997
Citation: Liu, H., Setiono, R. (1997). Feature selection via discretization. IEEE Transactions on Knowledge and Data Engineering 9 (4) : 642-645. ScholarBank@NUS Repository. https://doi.org/10.1109/69.617056
Abstract: Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant and/or redundant attributes. Chi2 is a simple and general algorithm that uses the χ 2 statistic to discretize numeric attributes repeatedly until some inconsistencies are found in the data. It achieves feature selection via discretization. It can handle mixed attributes, work with multiclass data, and remove irrelevant and redundant attributes. © 1997 IEEE.
Source Title: IEEE Transactions on Knowledge and Data Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/99623
ISSN: 10414347
DOI: 10.1109/69.617056
Appears in Collections:Staff Publications

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