On the Suitability of Genetic-Based Algorithms for Data Mining

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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