Rule induction for data exploration

Ian T. Nabney, O. Grasl

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper describes how the statistical technique of cluster analysis and the machine learning technique of rule induction can be combined to explore a database. The ways in which such an approach alleviates the problems associated with other techniques for data analysis are discussed. We report the results of experiments carried out on a database from the medical diagnosis domain. Finally we describe the future developments which we plan to carry out to build on our current work.
Original languageEnglish
Title of host publicationProceedings of Avignon 91: Expert systems and their applications
PublisherEC2 et Cie
Pages329-341
Number of pages13
Volume1
Publication statusPublished - 1991

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Cluster analysis
Learning systems
Experiments

Keywords

  • Proceedings of Avignon 91
  • Expert systems and their applications
  • Avignon (FR)
  • 1991

Cite this

Nabney, I. T., & Grasl, O. (1991). Rule induction for data exploration. In Proceedings of Avignon 91: Expert systems and their applications (Vol. 1, pp. 329-341). EC2 et Cie.
Nabney, Ian T. ; Grasl, O. / Rule induction for data exploration. Proceedings of Avignon 91: Expert systems and their applications. Vol. 1 EC2 et Cie, 1991. pp. 329-341
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Nabney, IT & Grasl, O 1991, Rule induction for data exploration. in Proceedings of Avignon 91: Expert systems and their applications. vol. 1, EC2 et Cie, pp. 329-341.

Rule induction for data exploration. / Nabney, Ian T.; Grasl, O.

Proceedings of Avignon 91: Expert systems and their applications. Vol. 1 EC2 et Cie, 1991. p. 329-341.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Nabney IT, Grasl O. Rule induction for data exploration. In Proceedings of Avignon 91: Expert systems and their applications. Vol. 1. EC2 et Cie. 1991. p. 329-341