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

Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007
ページ212-221
ページ数10
DOI
出版ステータスPublished - 2007
イベント6th IEEE International Conference on Cognitive Informatics, ICCI 2007 - Lake Tahoe, CA, United States
継続期間: 2007 8 62007 8 8

出版物シリーズ

名前Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007

Other

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management

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