Research of the Subgroup Discovery Algorithm NMEEF-SD
Subgroup discovery(SD)is a data mining technique which could find the most interesting individual patterns from a population of individuals for the user.Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discover(NMEEF-SD)which is based on non-dominated sorting genetic algorithm II(NSGA-II)is a kind of algorithm for SD.First,the concept of subgroup discovery is introduced.Then NMEEF-SD algorithm and its main properties are researched.Finally,the algorithm is applied to analyze the concrete comprehensive strength dataset from UCI database,the result of experiment shows that the NMEEF-SD algorithm is able to extract fuzzy rules with interesting characteristics and is easy to understand.
Subgroup discovery NMEEF-SD Fuzzy rules UCI
Haichun Xie Yong Zhang Limin Jia Yong Qin
School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,C
国际会议
The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)
福州
英文
163-170
2015-05-08（万方平台首次上网日期，不代表论文的发表时间）