Evaluating learning algorithms to construct rule evaluation models based on objective rule evaluation indices

Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi

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

1 Citation (Scopus)

Abstract

In the present paper, we describe an evaluation of our rule evaluation support method with constructive meta-learning scheme 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 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 scheme to choose proper learning algorithms. Then, we performed the case study on the meningitis data mining as an actual problem. In addition, we evaluated the proposed method using the ten rule sets obtained from the ten UCI datasets. The obtained results demonstrate the applicability of the proposed rule evaluation support method.

Original languageEnglish
Title of host publicationProceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007
Pages212-221
Number of pages10
DOIs
Publication statusPublished - 2007
Event6th IEEE International Conference on Cognitive Informatics, ICCI 2007 - Lake Tahoe, CA, United States
Duration: 2007 Aug 62007 Aug 8

Other

Other6th IEEE International Conference on Cognitive Informatics, ICCI 2007
CountryUnited States
CityLake Tahoe, CA
Period07/8/607/8/8

Fingerprint

Learning algorithms
Data mining
Processing
Evaluation
Evaluation index
Evaluation model
Learning algorithm
Costs

Keywords

  • Dato mining
  • Post-processing
  • rule evaluation index
  • Rule evaluation support

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management

Cite this

Abe, H., Tsumoto, S., Ohsaki, M., & Yamaguchi, T. (2007). Evaluating learning algorithms to construct rule evaluation models based on objective rule evaluation indices. In Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007 (pp. 212-221). [4341893] https://doi.org/10.1109/COGINF.2007.4341893

Evaluating learning algorithms to construct rule evaluation models based on objective rule evaluation indices. / Abe, Hidenao; Tsumoto, Shusaku; Ohsaki, Miho; Yamaguchi, Takahira.

Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007. 2007. p. 212-221 4341893.

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

Abe, H, Tsumoto, S, Ohsaki, M & Yamaguchi, T 2007, Evaluating learning algorithms to construct rule evaluation models based on objective rule evaluation indices. in Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007., 4341893, pp. 212-221, 6th IEEE International Conference on Cognitive Informatics, ICCI 2007, Lake Tahoe, CA, United States, 07/8/6. https://doi.org/10.1109/COGINF.2007.4341893
Abe H, Tsumoto S, Ohsaki M, Yamaguchi T. Evaluating learning algorithms to construct rule evaluation models based on objective rule evaluation indices. In Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007. 2007. p. 212-221. 4341893 https://doi.org/10.1109/COGINF.2007.4341893
Abe, Hidenao ; Tsumoto, Shusaku ; Ohsaki, Miho ; Yamaguchi, Takahira. / Evaluating learning algorithms to construct rule evaluation models based on objective rule evaluation indices. Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007. 2007. pp. 212-221
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