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.
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.
出处
《重庆邮电大学学报（自然科学版）》
2008年第3期335-340,共6页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
关键词
数据处理
逻辑学
粒度
粗糙集
granulation of knowledge
rough inclusions
many valued implications
classification of data
