Knowledge discovery support from a meningoencephalitis dataset using an automatic composition tool for inductive applications

Hiromitsu Hatazawa, Hidenao Abe, Mao Komori, Yoshiaki Tachibana, Takahira Yamaguchi

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

2 Citations (Scopus)

Abstract

Here is presented CAMLET that is a platform for automatic composition of inductive applications using ontologies that specify inductive learning methods. CAMLET constructs inductive applications using process and object ontologies. We have applied CAMLET to a meningoencephalitis dataset and evaluated CAMLET. The experimental results have shown us that it supports a human expert in discovering knowledge interesting to him.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings
PublisherSpringer Verlag
Pages500-507
Number of pages8
Volume2253
ISBN (Print)9783540455486
Publication statusPublished - 2001
Externally publishedYes
Event15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 - Matsue City, Japan
Duration: 2001 May 202001 May 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2253
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001
CountryJapan
CityMatsue City
Period01/5/2001/5/25

Fingerprint

Knowledge Discovery
Data mining
Ontology
Inductive Learning
Chemical analysis
Experimental Results
Knowledge
Object
Human

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Hatazawa, H., Abe, H., Komori, M., Tachibana, Y., & Yamaguchi, T. (2001). Knowledge discovery support from a meningoencephalitis dataset using an automatic composition tool for inductive applications. In New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings (Vol. 2253, pp. 500-507). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2253). Springer Verlag.

Knowledge discovery support from a meningoencephalitis dataset using an automatic composition tool for inductive applications. / Hatazawa, Hiromitsu; Abe, Hidenao; Komori, Mao; Tachibana, Yoshiaki; Yamaguchi, Takahira.

New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings. Vol. 2253 Springer Verlag, 2001. p. 500-507 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2253).

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

Hatazawa, H, Abe, H, Komori, M, Tachibana, Y & Yamaguchi, T 2001, Knowledge discovery support from a meningoencephalitis dataset using an automatic composition tool for inductive applications. in New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings. vol. 2253, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2253, Springer Verlag, pp. 500-507, 15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001, Matsue City, Japan, 01/5/20.
Hatazawa H, Abe H, Komori M, Tachibana Y, Yamaguchi T. Knowledge discovery support from a meningoencephalitis dataset using an automatic composition tool for inductive applications. In New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings. Vol. 2253. Springer Verlag. 2001. p. 500-507. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Hatazawa, Hiromitsu ; Abe, Hidenao ; Komori, Mao ; Tachibana, Yoshiaki ; Yamaguchi, Takahira. / Knowledge discovery support from a meningoencephalitis dataset using an automatic composition tool for inductive applications. New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings. Vol. 2253 Springer Verlag, 2001. pp. 500-507 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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