Integrated case-based reasoning

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12 Scopus citations

Abstract

Case-based reasoning systems solve new problems by using previous problem solving experiences stored as cases in a case base. In recent years the integrated methods of case-based reasoning have become an increasingly important research issue for the case-based reasoning community. In this paper we research the integrated case-based reasoning method based on rule-based reasoning, or induction learning technique so as to heighten the efficiency of problem-solving of case-based reasoning. We also utilize genetic algorithm in a integrated case-based reasoning approach. The experiments show that the new model of integrated case-based reasoning has got a better accuracy rate of classification.

Original languageEnglish
Title of host publicationInternational Conference on Machine Learning and Cybernetics
Pages1845-1849
Number of pages5
StatePublished - 2003
Externally publishedYes
Event2003 International Conference on Machine Learning and Cybernetics - Xi'an, China
Duration: 2 Nov 20035 Nov 2003

Publication series

NameInternational Conference on Machine Learning and Cybernetics
Volume3

Conference

Conference2003 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityXi'an
Period2/11/035/11/03

Keywords

  • Case-based reasoning
  • Classification
  • Induction
  • Rule-based reasoning

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