Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices

Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Hideto Yokoi; Takahira Yamaguchi

doi:10.1007/11961239_7

Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices

Hidenao Abe
, Shusaku Tsumoto
, Miho Ohsaki
, Hideto Yokoi
, Takahira Yamaguchi

Department of Industrial and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present evaluations of learning algorithms for a novel rule evaluation support method in data mining post-processing, which is one of the key processes in a data mining process. It is difficult for human experts to evaluate many thousands of rules from a large dataset with noises completely. To reduce the costs of rule evaluation task, we have developed the rule evaluation support method with rule evaluation models, which are learned from a dataset consisted of objective indices and evaluations of 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 for constructing them. Then, we have done a case study on the meningitis data mining result, the hepatitis data mining results and rule sets from the eight UCI datasets.

Original language	English
Title of host publication	Advances in Knowledge Acquisition and Management - Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers
Editors	Achim Hoffmann, Byeong-ho Kang, Debbie Richards, Shusaku Tsumoto
Publisher	Springer Verlag
Pages	75-88
Number of pages	14
ISBN (Print)	9783540689553
DOIs	https://doi.org/10.1007/11961239_7
Publication status	Published - 2006
Event	Pacific Rim Knowledge AcquisitionWorkshop, PKAW 2006 - Guilin, China Duration: 2006 Aug 7 → 2006 Aug 8

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4303 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	Pacific Rim Knowledge AcquisitionWorkshop, PKAW 2006
Country/Territory	China
City	Guilin
Period	06/8/7 → 06/8/8

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/11961239_7

Cite this

Abe, H., Tsumoto, S., Ohsaki, M., Yokoi, H., & Yamaguchi, T. (2006). Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices. In A. Hoffmann, B. Kang, D. Richards, & S. Tsumoto (Eds.), Advances in Knowledge Acquisition and Management - Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers (pp. 75-88). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4303 LNAI). Springer Verlag. https://doi.org/10.1007/11961239_7

Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices. / Abe, Hidenao; Tsumoto, Shusaku; Ohsaki, Miho et al.
Advances in Knowledge Acquisition and Management - Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers. ed. / Achim Hoffmann; Byeong-ho Kang; Debbie Richards; Shusaku Tsumoto. Springer Verlag, 2006. p. 75-88 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4303 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abe, H, Tsumoto, S, Ohsaki, M, Yokoi, H & Yamaguchi, T 2006, Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices. in A Hoffmann, B Kang, D Richards & S Tsumoto (eds), Advances in Knowledge Acquisition and Management - Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4303 LNAI, Springer Verlag, pp. 75-88, Pacific Rim Knowledge AcquisitionWorkshop, PKAW 2006, Guilin, China, 06/8/7. https://doi.org/10.1007/11961239_7

Abe H, Tsumoto S, Ohsaki M, Yokoi H, Yamaguchi T. Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices. In Hoffmann A, Kang B, Richards D, Tsumoto S, editors, Advances in Knowledge Acquisition and Management - Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers. Springer Verlag. 2006. p. 75-88. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11961239_7

Abe, Hidenao ; Tsumoto, Shusaku ; Ohsaki, Miho et al. / Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices. Advances in Knowledge Acquisition and Management - Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers. editor / Achim Hoffmann ; Byeong-ho Kang ; Debbie Richards ; Shusaku Tsumoto. Springer Verlag, 2006. pp. 75-88 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices

Abstract

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