期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：12
页码：9485-9490
出版社：IJECS
摘要：In this paper, swarm intelligence based technique for mining rules over a medical database have been used. Rules are asuitable method for representing real world medical knowledge because of their simplicity, uniformity, transparency, and ease ofinference. Swarm Intelligence (SI) has been applied to the rule mining process as its dynamic nature provides flexibility and robustnessto process of rule mining. Traditional methods of rule mining generate a large number of rules with too many terms, making the systemunusable over medical data. In this paper, the attempt is to use SI as a novel method for discovering interesting rules in the medicaldomain. The performance of three different swarm based techniques has been compared by observing the output rules of rule sets used toclassify data.Section 1 introduces the concept of swarm intelligence and rule mining and how these can be combined. Issues that arise in miningmedical data are also briefly listed. Section 2 describes conventional rule mining techniques and states the motivation behind usingswarm intelligence for rule mining and classification. Section 3 describes the various SI based algorithms that have been implementedin our study. Section 4 describes the details of the experiment. Section 5 presents the results of the practical experiment followed byconclusions and future scope in section 6.
关键词：Swarm intelligence; Data Mining; Soft Computing; Medical domain; Association rule mining; Ant colony;optimization; Particle swarm optimization; rule quality
