Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices

Hidenao Abe; Shusaku Tsumoto; Miho Ohsaki; Takahira Yamaguchi

Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices

Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007
Editors	Jorg Roth, Jairo Gutierrez, Ajith P. Abraham
Publisher	IADIS Press
Pages	25-32
Number of pages	8
ISBN (Electronic)	9789728924409
Publication status	Published - 2020
Externally published	Yes
Event	2007 IADIS European Conference on Data Mining, DM 2007, part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007 - Lisbon, Portugal Duration: 2007 Jul 3 → 2007 Jul 8

Publication series

Name	MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007

Conference

Conference	2007 IADIS European Conference on Data Mining, DM 2007, part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007
Country/Territory	Portugal
City	Lisbon
Period	07/7/3 → 07/7/8

Keywords

Data Mining
Objective Rule Evaluation Index
Post-processing
Rule Evaluation Support

ASJC Scopus subject areas

Computer Science(all)

Cite this

Abe, H., Tsumoto, S., Ohsaki, M., & Yamaguchi, T. (2020). Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices. In J. Roth, J. Gutierrez, & A. P. Abraham (Eds.), MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007 (pp. 25-32). (MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007). IADIS Press.

Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices. / Abe, Hidenao; Tsumoto, Shusaku; Ohsaki, Miho et al.
MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007. ed. / Jorg Roth; Jairo Gutierrez; Ajith P. Abraham. IADIS Press, 2020. p. 25-32 (MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007).

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

Abe, H, Tsumoto, S, Ohsaki, M & Yamaguchi, T 2020, Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices. in J Roth, J Gutierrez & AP Abraham (eds), MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007. MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007, IADIS Press, pp. 25-32, 2007 IADIS European Conference on Data Mining, DM 2007, part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007, Lisbon, Portugal, 07/7/3.

Abe H, Tsumoto S, Ohsaki M, Yamaguchi T. Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices. In Roth J, Gutierrez J, Abraham AP, editors, MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007. IADIS Press. 2020. p. 25-32. (MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007).

Abe, Hidenao ; Tsumoto, Shusaku ; Ohsaki, Miho et al. / Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices. MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007. editor / Jorg Roth ; Jairo Gutierrez ; Ajith P. Abraham. IADIS Press, 2020. pp. 25-32 (MCCSIS 2007 - IADIS Multi Conference on Computer Science and Information Systems - Proceedings of Wireless Applications and Computing 2007, Telecommunications, Networks and Systems 2007 and Data Mining 2007).

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author = "Hidenao Abe and Shusaku Tsumoto and Miho Ohsaki and Takahira Yamaguchi",

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Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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