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A NEW ALGORITHM FOR GENERATION OF DECISION TREES

Abstract

A new algorithm for development of quasi-optimal decision trees, based on the Bayes theorem, has been created and tested. The algorithm generates a decision tree on the basis of Bayesian belief networks, created prior to the formation of the decision tree. The efficiency of this new algorithm was compared with three other known algorithms used to develop decision trees. The data set used for the experiments was a set of cases of skin lesions, histopatologically verified.

Keywords:

artificial intelligence, supervised machine learning, decision trees, Bayes networks

Details

Issue
Vol. 8 No. 2 (2004)
Section
Research article
Published
2004-06-30
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors

  • JERZY W. GRZYMAŁA-BUSSE

    Department of Electrical Engineering and Computer Science, Kansas University, Lawrence (KS) USA
  • ZDZISŁAW S. HIPPE

    Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management, Sucharskiego 2, 35-225 Rzeszow, Poland
  • MAKSYMILIAN KNAP

    Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management, Sucharskiego 2, 35-225 Rzeszow, Poland
  • TERESA MROCZEK

    Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management, Sucharskiego 2, 35-225 Rzeszow, Poland

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