Toward the inner logic in data: Granular structures as the frame for classifiers
(0) Any analysis of data collected in data tables aims at revealing the inner logic of data,i.e.，the mechanismof inference which decides about assignment of classes or categories to single items in data. We propose to discussand analyze the mechanism based on granulation of data and the subsequent induction of classifiers from the resultinggranular structures. We consider some logical operators transferred into the realm of data tables and made a basis forgranulation heuristics along with classification results inferred from the resulting granular structures.
granulation of knowledge rough inclusions many valued implications classification of data
POLKOWSKI Lech
Polish-Japanese Institute of IT,Warsaw Poland
国内会议
重庆
英文
335-340
2008-05-13（万方平台首次上网日期，不代表论文的发表时间）