Evaluating a constructive meta-learning algorithm for a rule evaluation support method based on objective 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 to select proper ones in a rule evaluation support tool for post-processing of mined results. Post-processing of mined results is one of the key processes in the data mining process. However, it is difficult for human experts to completely evaluate several thousand of rules from a large dataset with noises. To reduce the costs in such a rule evaluation task, we have developed a 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 the adaptability of rule evaluation models, we introduced a constructive meta-learning system to choose proper learning algorithms. Then, we performed the case study on the meningitis data mining as an actual problem. The obtained results demonstrate the applicability of the proposed rule evaluation support method.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems
Subtitle of host publicationKES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
Pages934-941
Number of pages8
EditionPART 2
DOIs
Publication statusPublished - 2007 Dec 1
Event11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare, Italy
Duration: 2007 Sep 122007 Sep 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4693 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
CountryItaly
CityVietri sul Mare
Period07/9/1207/9/14

Keywords

  • Constructive meta-learning
  • Data mining
  • Objective rule evaluation index
  • Post-processing
  • Rule evaluation support

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Abe, H., Tsumoto, S., Ohsaki, M., & Yamaguchi, T. (2007). Evaluating a constructive meta-learning algorithm for a rule evaluation support method based on objective indices. In Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings (PART 2 ed., pp. 934-941). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4693 LNAI, No. PART 2). https://doi.org/10.1007/978-3-540-74827-4_117