Issue No. 04 - July-August (1997 vol. 9)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/69.617056
<p><b>Abstract</b>—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<super>2</super> statistic to discretize numeric attributes repeatedly until some inconsistencies are found in the data. It achieves feature selection via discretization. It can handle <it>mixed</it> attributes, work with <it>multiclass</it> data, and remove <it>irrelevant</it> and <it>redundant</it> attributes.</p>
Discretization, feature selection, pattern classification.
Rudy Setiono, Huan Liu, "Feature Selection via Discretization", IEEE Transactions on Knowledge & Data Engineering, vol. 9, no. , pp. 642-645, July-August 1997, doi:10.1109/69.617056