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Granular computing
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====Issues and methods==== It is not feasible to exhaustively test all possible discretization resolutions on all variables in order to see which combination of resolutions yields interesting or significant results. Instead, the feature space must be preprocessed (often by an [[information entropy|entropy]] analysis of some kind) so that some guidance can be given as to how the discretization process should proceed. Moreover, one cannot generally achieve good results by naively analyzing and discretizing each variable independently, since this may obliterate the very interactions that we had hoped to discover. A sample of papers that address the problem of variable discretization in general, and multiple-variable discretization in particular, is as follows: {{Harvtxt|Chiu|Wong|Cheung|1991}}, {{Harvtxt|Bay|2001}}, {{Harvtxt|Liu|Hussain|Tan|Dasii|2002}}, {{Harvtxt|Wang|Liu|1998}}, {{Harvtxt|Zighed|Rabaséda|Rakotomalala|1998}}, {{Harvtxt|Catlett|1991}}, {{Harvtxt|Dougherty|Kohavi|Sahami|1995}}, {{Harvtxt|Monti|Cooper|1999}}, {{Harvtxt|Fayyad|Irani|1993}}, {{Harvtxt|Chiu|Cheung|Wong|1990}}, {{Harvtxt|Nguyen|Nguyen|1998}}, {{Harvtxt|Grzymala-Busse|Stefanowski|2001}}, {{Harvtxt|Ting|1994}}, {{Harvtxt|Ludl|Widmer|2000}}, {{Harvtxt|Pfahringer|1995}}, {{Harvtxt|An|Cercone|1999}}, {{Harvtxt|Chiu|Cheung|1989}}, {{Harvtxt|Chmielewski|Grzymala-Busse|1996}}, {{Harvtxt|Lee|Shin|1994}}, {{Harvtxt|Liu|Wellman|2002}}, {{Harvtxt|Liu|Wellman|2004}}.
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