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Toward the inner logic in data: Granular structures as the frame for classifiers
作者姓名:POLKOWSKI  Lech
作者单位:POLKOWSKI Lech(Polish-Japanese Institute of IT,Warsaw Poland)
摘    要:Any analysis of data collected in data tables aims at revealing the inner logic of data, i.e., the mechanism of inference which decides about assignment of classes or categories to single items in data. We propose to discuss and analyze the mechanism based on granulation of data and the subsequent induction of classifiers from the resulting granular structures. We consider some logical operators transferred into the realm of data tables and made a basis for granulation heuristics along with classification results inferred from the resulting granular structures.

关 键 词:granulation  of  knowledge    rough  inclusions    many  valued  implications    classification  of  data
文章编号:1673-825X(2008)03-0335-06
收稿时间:2008/3/20 0:00:00
修稿时间:2008年3月20日

Toward the inner logic in data: Granular structures as the frame for classifiers
POLKOWSKI Lech.Toward the inner logic in data: Granular structures as the frame for classifiers[J].Journal of Chongqing University of Posts and Telecommunications,2008,20(3):335-340.
Authors:POLKOWSKI Lech
Institution:Polish-Japanese Institute of IT,Warsaw Poland
Abstract:Any analysis of data collected in data tables aims at revealing the inner logic of data, i. e. , the mechanism of inference which decides about assignment of classes or categories to single items in data. We propose to discuss and analyze the mechanism based on granulation of data and the subsequent induction of classifiers from the resulting granular structures. We consider some logical operators transferred into the realm of data tables and made a basis for granulation heuristics along with classification results inferred from the resulting granular structures.
Keywords:granulation of knowledge  rough inclusions  many valued implications  classification of data
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