Temporal Rule Discovery using Genetic Programming and Specialized Hardware

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Magnus Lie Hetland and Pal Saetrom",
  title =        "Temporal Rule Discovery using Genetic Programming and
                 Specialized Hardware",
  booktitle =    "Proceedings of the 4th International Conference on
                 Recent Advances in Soft Computing",
  year =         "2002",
  editor =       "Ahmad Lotfi and Jon Garibaldi and Robert John",
  pages =        "182--188",
  address =      "Nottingham, United Kingdom",
  publisher_address = "Nottingham, United Kingdom",
  month =        "12-13 " # dec,
  publisher =    "The Nottingham Trent University",
  keywords =     "genetic algorithms, genetic programming, Time series,
                 sequence mining, rule discovery, pattern matching
  ISBN =         "1-84233-076-4",
  URL =          "http://hetland.org/research/2002/sc2103.pdf",
  URL =          "http://citeseer.ist.psu.edu/549830.html",
  abstract =     "Discovering association rules is a well-established
                 problem in the field of data mining, with many existing
                 solutions. In later years, several methods have been
                 proposed for mining rules from sequential and temporal
                 data. This paper presents a novel technique based on
                 genetic programming and specialized pattern matching
                 hardware. The advantages of this method are its
                 exibility and adaptability, and its ability to produce
                 intelligible rules of considerable complexity.",
  notes =        "RASC http://www.rasc2002.info/ See also

Genetic Programming entries for Magnus Lie Hetland Pal Saetrom