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 proceedingConference 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 languageEnglish
Title of host publicationMCCSIS 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
EditorsJorg Roth, Jairo Gutierrez, Ajith P. Abraham
PublisherIADIS Press
Pages25-32
Number of pages8
ISBN (Electronic)9789728924409
Publication statusPublished - 2020
Event2007 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 32007 Jul 8

Publication series

NameMCCSIS 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

Conference2007 IADIS European Conference on Data Mining, DM 2007, part of the 1st IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2007
CountryPortugal
CityLisbon
Period07/7/307/7/8

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'Evaluating a learning algorithm selection method for a rule evaluation support tool based on objective indices'. Together they form a unique fingerprint.

Cite this