Optimization of Decision Rules in Fuzzy Classification

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@Article{Arora:2012:IJCA,
  title =        "Optimization of Decision Rules in Fuzzy
                 Classification",
  author =       "Renuka Arora and Sudesh Kumar",
  journal =      "International Journal of Computer Applications",
  year =         "2012",
  volume =       "51",
  number =       "3",
  pages =        "13--17",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "09758887",
  bibsource =    "OAI-PMH server at www.doaj.org",
  language =     "eng",
  oai =          "oai:doaj-articles:2c58ebd9b3af7344384924c400738db2",
  URL =          "http://research.ijcaonline.org/volume51/number3/pxc3880505.pdf",
  DOI =          "doi:10.5120/8021-0505",
  publisher =    "Foundation of Computer Science (FCS)",
  size =         "5 pages",
  abstract =     "There are various advances in data collection that can
                 intelligently and automatically analyse and mine
                 knowledge from large amounts of data. World Wide Web as
                 a global information system has flooded us with a
                 tremendous amount of data and information Discovery of
                 knowledge and decision-making directly from such huge
                 volumes of data contents is a real challenge. The
                 Knowledge Discovery in Databases (KDD) is the process
                 of extracting the knowledge from huge data collection.
                 Data mining is a step of KDD in which patterns or
                 models are extracted from data by using some automated
                 techniques. Discovering knowledge in the form of
                 classification rules is one of the most important tasks
                 of data mining. Discovery of comprehensible, concise
                 and effective rules helps us to make right decisions.
                 Therefore, several Machine Learning techniques are
                 applied for discovery of classification rules. Recently
                 there have been several applications of genetic
                 algorithms for effective rules with high predictive
                 accuracy.",
  notes =        "Balloon, Poker",
}

Genetic Programming entries for Renuka Arora Sudesh Kumar

Citations