Evaluating learning algorithms for a rule evaluation support method based on objective rule evaluation indices

Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present an evaluation of learning algorithms of a novel rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices. Post-processing of mined results is one of the key processes in a data mining process. However, it is difficult for human experts to completely evaluate several thousands of rules from a large dataset with noises. To reduce the costs in such rule evaluation task, we have developed the rule evaluation support method with rule evaluation models which learn from a dataset. This dataset comprises objective indices for mined classification rules and evaluations by a human expert for each rule. To evaluate performances of learning algorithms for constructing the rule evaluation models, we have done a case study on the meningitis data mining as an actual problem. Furthermore, we have also evaluated our method with five rule sets obtained from five UCI datasets.

Original languageEnglish
Title of host publicationFoundations of Intelligent Systems - 16th International Symposium, ISMIS 2006, Proceedings
PublisherSpringer Verlag
Pages379-388
Number of pages10
ISBN (Print)354045764X, 9783540457640
DOIs
Publication statusPublished - 2006 Jan 1
Event16th International Symposium on Methodologies for Intelligent Systems, ISMIS 2006 - Bari, Italy
Duration: 2006 Sep 272006 Sep 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4203 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Symposium on Methodologies for Intelligent Systems, ISMIS 2006
CountryItaly
CityBari
Period06/9/2706/9/29

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Abe, H., Tsumoto, S., Ohsaki, M., & Yamaguchi, T. (2006). Evaluating learning algorithms for a rule evaluation support method based on objective rule evaluation indices. In Foundations of Intelligent Systems - 16th International Symposium, ISMIS 2006, Proceedings (pp. 379-388). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4203 LNAI). Springer Verlag. https://doi.org/10.1007/11875604_44