首页    期刊浏览 2025年07月11日 星期五
登录注册

文章基本信息

  • 标题:A NEW SOFT COMPUTING TECHNIQUE FOR EFFICIENT RULE MINING
  • 本地全文:下载
  • 作者:SIJI P D ; DR.M.L.VALARMATHI ; S.MOHANA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2016
  • 卷号:83
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This paper proposed a prediction model based on Fuzzy Association Rule (FARs). Present a two model; it is the integration of the Fuzzy C-Means (FCM) and Multiple Support Apriori (MS apriori). Even though, enhancing the knowledge from the large dataset, give large amount of data. So reduce some amount of data through hybrid approach of Genetic algorithm (GA) with Particle Swarm Optimation (PSO), both useful for the fuzzy association rule. Extraction of knowledge process is performed thorough betathalesemia Dataset. FCM and MSapriori model is used to extract the FARs. experimental result proves the proposed model of hybrid feature reduction with FCM-MS apriori model is effectively predict the knowledge from the large database compared to other prediction model.
  • 关键词:Association Mining; Fuzzy Rule; Genetic Algorithm
国家哲学社会科学文献中心版权所有