Mining Predicate Association Rule by Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{DBLP:conf/waim/ZuoTZ02,

• author = "Jie Zuo and Changjie Tang and Tianqing Zhang",
• title = "Mining Predicate Association Rule by Gene Expression Programming",
• booktitle = "Advances in Web-Age Information Management, Third International Conference, WAIM 2002",
• year = "2002",
• pages = "92--103",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• editor = "Xiaofeng Meng and Jianwen Su and Yujun Wang",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "2419",
• ISBN = "3-540-44045-3",
• address = "Beijing, China",
• month = "11-13 " # aug,
• keywords = "genetic algorithms, genetic programming, gene expression programming, Predicate association rule, Chromosome, Fitness",
• DOI = "doi:10.1007/3-540-45703-8_9",
• abstract = "Association rule mining is a typical task in data mining. Predicate Association (PA) is introduced and a new method to discover PA by GEP, called PAGEP (mining Predicate Association by GEP), is proposed. Main results are: (1) The inherent weaknesses of traditional association (TA) are explored. It is proved that TA is a special case of PA. (2) The algorithms for mining PAR, decoding chromosome and fitness are proposed and implemented. (3) It is also proved that gene decoding procedure always success for any well-defined gene. (4) Extensive experiments are given to demonstrate that PAGEP can discover some association rule that cannot be expressed and discovered by traditional method.",
• notes = "Computer Department, Sichuan University China",

}

Genetic Programming entries for Jie Zuo Changjie Tang Tianqing Zhang

Citations