Mining Predicate Association Rule by Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Jie Zuo and Changjie Tang and Tianqing Zhang",
  title =        "Mining Predicate Association Rule by Gene Expression
  booktitle =    "Advances in Web-Age Information Management, Third
                 International Conference, WAIM 2002",
  year =         "2002",
  pages =        "92--103",
  bibsource =    "DBLP,",
  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