Some Developments of Determinacy Analysis
This paper deals with development of Determincy Analysis (DA), a method for data mining. There are two approaches to DA that give a different result consisting of non-overlapping (exclusive each other) rules. The first method finds exactly one system consisting of rules that have equal length. The second, step by step approach enables to find very many different rule systems where the rules have different length. In the first case the rules contain a lot of redundant attributes, in the second case there are too many different (formally complete) systems of rules what makes the selection hard. A better result can be obtained by finding overlapping rules. This paper presents DA approach and technique that enables to find overlapping rules with different length and algorithm realizing it. Such approach for DA has not been created earlier.
Determinacy Analysis Data Mining Overlapping rules
Rein Kuusik Grete Lind
Department of Informatics Tallinn University of Technology Raja 15 Tallinn 12618 Estonia
国际会议
6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)
重庆
英文
593-602
2010-11-19(万方平台首次上网日期,不代表论文的发表时间)