Evaluation of learning costs of rule evaluation models based on objective indices to predict human hypothesis construction phases

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

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

2 Citations (Scopus)

Abstract

In this paper, we present an evaluation of learning costs of rule evaluation models based on objective indices for an iterative rule evaluation support method in data mining post-processing. Post-processing of mined results is one of the key processes in a data mining process. However, it is difficult for human experts to find out valuable knowledge from several thousands of rules obtained with a large dataset with noises. To reduce the costs in such rule evaluation task, we have developed the 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 estimate learning costs for predicting human interests with objective rule evaluation indices, we have done the two case studies with actual data mining results, which include different phases of human interests. With regarding to these results, we discuss about the relationship between performances of learning algorithms and human hypothesis construction process.

Original languageEnglish
Title of host publicationProceedings - 2007 IEEE International Conference on Granular Computing, GrC 2007
Pages458-464
Number of pages7
DOIs
Publication statusPublished - 2007 Dec 1
Event2007 IEEE International Conference on Granular Computing, GrC 2007 - San Jose, CA, United States
Duration: 2007 Nov 22007 Nov 4

Publication series

NameProceedings - 2007 IEEE International Conference on Granular Computing, GrC 2007

Other

Other2007 IEEE International Conference on Granular Computing, GrC 2007
CountryUnited States
CitySan Jose, CA
Period07/11/207/11/4

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

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    Abe, H., Tsumoto, S., Ohsaki, M., Yokoi, H., & Yamaguchi, T. (2007). Evaluation of learning costs of rule evaluation models based on objective indices to predict human hypothesis construction phases. In Proceedings - 2007 IEEE International Conference on Granular Computing, GrC 2007 (pp. 458-464). [4403142] (Proceedings - 2007 IEEE International Conference on Granular Computing, GrC 2007). https://doi.org/10.1109/GRC.2007.4403142