计算机技术与发展Issue(6)：179-183,5.DOI:10.3969/j.issn.1673-629X.2014.06.044
改进蚁群算法MMAS在分类规则挖掘中的研究
Research on Improved Ant Colony Algorithm MMAS in Classification Rule Mining
摘要
Abstract
In order to study and evaluate the features and functions of ant colony algorithm in classification rule mining applications in-depth,aiming at the deficiencies of the basic ant colony algorithm,introduce improved ant colony algorithms,the Max-Min Ant System (MMAS). And according to the comparison principle of the classification rule mining algorithm,make a comparison for classification rule mining algorithms through the experimental analysis. The results show that the AntMiner+based on MMAS model has great advanta-ges in the classification rule mining from simulation accuracy and speed.关键词
数据挖掘/分类规则/蚁群算法/最大最小蚂蚁系统/AntMiner+Key words
data mining/classification rule/ant colony algorithm/Max-Min Ant System ( MMAS)/AntMiner+分类
信息技术与安全科学引用本文复制引用
陈宝钢,唐飞,蔡铁,陆芸婷,刘寿强..改进蚁群算法MMAS在分类规则挖掘中的研究[J].计算机技术与发展,2014,(6):179-183,5.基金项目
广东省自然科学基金项目(S2011010003890,S2013010012669,S2011010006115) （S2011010003890,S2013010012669,S2011010006115）
深圳市科技计划项目(JC201105190829A) （JC201105190829A）
河南省科技攻关计划项目(11210221019) （11210221019）
