On the Suitability of Genetic-Based Algorithms for Data Mining

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Choenni:1999:SGB,
  author =       "Sunil Choenni",
  title =        "On the Suitability of Genetic-Based Algorithms for
                 Data Mining",
  booktitle =    "Advances in Database Technologies",
  editor =       "Yahiko Kambayashi and Dik Lun Lee and Ee-Peng Lim and 
                 Mukesh Kumar Mohania and Yoshifumi Masunaga",
  series =       "LNCS",
  volume =       "1552",
  pages =        "55--67",
  year =         "1999",
  CODEN =        "LNCSD9",
  ISSN =         "0302-9743",
  bibdate =      "Tue Sep 14 06:09:05 MDT 1999",
  acknowledgement = ack-nhfb,
  keywords =     "genetic algorithms, genetic programming, ADT,
                 conceptual modelling, database technologies, mobile
                 data access, spatio-temporal data management",
  address =      "Singapore",
  month =        "19-20 " # nov # " 1998",
  publisher =    "Springer-Verlag",
  email =        "choenni@nrl.nl",
  ISBN =         "3-540-65690-1",
  DOI =          "doi:10.1007/978-3-540-49121-7_5",
  abstract =     "Data mining has as goal to extract knowledge from
                 large databases. A database may be considered as a
                 search space consisting of an enormous number of
                 elements, and a mining algorithm as a search strategy.
                 In general, an exhaustive search of the space is
                 infeasible. Therefore, efficient search strategies are
                 of vital importance. Search strategies on genetic-based
                 algorithms have been applied successfully in a wide
                 range of applications. We focus on the suitability of
                 genetic-based algorithms for data mining. We discuss
                 the design and implementation of a genetic-based
                 algorithm for data mining and illustrate its
                 potentials.",
  notes =        "DWDM98 ER'98 Workshop on Data Warehousing and Data
                 Mining, Mobile Data Access, and Collaborative Work
                 Support and Spatio-Temporal Data Management

                 Also available as Dutch military {"}National Aerospace
                 Laboratory{"} NLR tech report.
                 \cite{choenni:1998:SGADM} NLR Technical Publications
                 98484-tp.pdf NLR-TP-98484 Also {"}University of
                 Twente{"}.

                 Fixed length representation, one locus per database
                 attribute. Attributes either 1) not used 2) actual
                 value (categorical data) or 3) range, eg [3,34]. All
                 attributes anded together to give query. Mutation and
                 crossover a little bit smart.

                 Microsoft Access interface. Interactive. User specifies
                 initial topic to be mind and can interactively update
                 this.

                 http://wwwhome.cs.utwente.nl/~choenni/
                 http://www.nlr.nl/public/library/index.html#diagram",
}

Genetic Programming entries for Sunil Choenni

Citations