Data Mining and Knowledge Discovery with Evolutionary Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.3664

@Book{freitas:2002:book,
  author =       "Alex Freitas",
  title =        "Data Mining and Knowledge Discovery with Evolutionary
                 Algorithms",
  publisher =    "Springer-Verlag",
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming, data mining,
                 classification, clustering, Artificial Intelligence,
                 Computing Methodologies, Evolutionary Algorithms,
                 Machine Learning",
  ISBN =         "0-7923-8048-7",
  URL =          "http://www.cs.kent.ac.uk/people/staff/aaf/my-publications-ukc.html",
  URL =          "http://www.springer.com/computer/ai/book/978-3-540-43331-6",
  abstract =     "This book integrates two areas of computer science,
                 namely data mining and evolutionary algorithms. Both
                 these areas have become increasingly popular in the
                 last few years, and their integration is currently an
                 area of active research. In general, data mining
                 consists of extracting knowledge from data. In this
                 book we particularly emphasise the importance of
                 discovering comprehensible and interesting knowledge,
                 which is potentially useful to the reader for
                 intelligent decision making. In a nutshell, the
                 motivation for applying evolutionary algorithms to data
                 mining is that evolutionary algorithms are robust
                 search methods which perform a global search in the
                 space of candidate solutions (rules or another form of
                 knowledge representation). In contrast, most rule
                 induction methods perform a local, greedy search in the
                 space of candidate rules. Intuitively, the global
                 search of evolutionary algorithms can discover
                 interesting rules and patterns that would be missed by
                 the greedy search.

                 This book presents a comprehensive review of basic
                 concepts on both data mining and evolutionary
                 algorithms and discusses significant advances in the
                 integration of these two areas. It is self-contained,
                 explaining both basic concepts and advanced topics.",
  size =         "xiv + 264 pages",
}

Genetic Programming entries for Alex Alves Freitas

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