Evaluating learning algorithms composed by a constructive meta-learning scheme for a rule evaluation support method

Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi

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

3 Citations (Scopus)

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 objective indices for mined classification rules and evaluations by a human expert for each rule. To enhance adaptability of rule evaluation models, we introduced a constructive meta-learning system to choose proper learning algorithms. Then, we have done the case study on the meningitis data mining as an actual problem.

Original languageEnglish
Title of host publicationProceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops
Pages305-310
Number of pages6
Publication statusPublished - 2006 Dec 1
Event6th IEEE International Conference on Data Mining - Workshops, ICDM 2006 - Hong Kong, China
Duration: 2006 Dec 182006 Dec 18

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Other

Other6th IEEE International Conference on Data Mining - Workshops, ICDM 2006
CountryChina
CityHong Kong
Period06/12/1806/12/18

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Abe, H., Tsumoto, S., Ohsaki, M., & Yamaguchi, T. (2006). Evaluating learning algorithms composed by a constructive meta-learning scheme for a rule evaluation support method. In Proceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops (pp. 305-310). [4063644] (Proceedings - IEEE International Conference on Data Mining, ICDM).