Evolutionary Computation

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InCollection{freitas:2002:HDMKD,
  author =       "Alex Alves Freitas",
  title =        "Evolutionary Computation",
  booktitle =    "Handbook of Data Mining and Knowledge Discovery",
  publisher =    "Oxford University Press",
  year =         "2002",
  editor =       "W. Klosgen and J. Zytkow",
  chapter =      "32",
  pages =        "698--706",
  keywords =     "genetic algorithms, genetic programming, data mining,
                 classification",
  URL =          "http://www.cs.kent.ac.uk/people/staff/aaf/my-publications-ukc.html",
  URL =          "http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/Hbk-dmkd.ps",
  URL =          "http://citeseer.ist.psu.edu/460298.html",
  abstract =     "This chapter addresses the integration of knowledge
                 discovery in databases (KDD) and evolutionary
                 algorithms (EAs), particularly genetic algorithms and
                 genetic programming. First we provide a brief overview
                 of EAs. Then the remaining text is divided into three
                 parts. Section 2 discusses the use of EAs for KDD. The
                 emphasis is on the use of EAs in attribute selection
                 and in the optimization of parameters for other kinds
                 of KDD algorithms (such as decision trees and nearest
                 neighbour algorithms). Section 3 discusses three
                 research problems in the design of an EA for KDD,
                 namely: how to discover comprehensible rules with
                 genetic programming, how to discover surprising
                 (interesting) rules, and how to scale up EAs with
                 parallel processing. Finally, section 4 discusses what
                 the added value of KDD is for EAs. This section
                 includes the remark that generalization performance on
                 a separate test set (unseen during training, or EA run)
                 is a basic principle for evaluating the quality of
                 discovered knowledge, and then suggests that this
                 principle should be followed in other EA
                 applications.",
  size =         "pages",
}

Genetic Programming entries for Alex Alves Freitas

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