Knowledge Discovery from Common Data Sets Using an Automatic Composition Tool for Inductive Applications(SpecialIssue:"Comparison and Evaluation of KDD Methods with Common Medical Datasets")

Journal of the Japanese Society for Artificial Intelligence

Online ISSN : 2435-8614
Print ISSN : 2188-2266

Print ISSN:0912-8085 until 2013

Knowledge Discovery from Common Data Sets Using an Automatic Composition Tool for Inductive Applications(SpecialIssue:"Comparison and Evaluation of KDD Methods with Common Medical Datasets")

Takahira YAMAGUCHI

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Keywords: method ontologies, meta-learning, software synthesis

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2000 Volume 15 Issue 5 Pages 768-773

DOI https://doi.org/10.11517/jjsai.15.5_768

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© 2000 The Japaense Society for Artificial Intelligence

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