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

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 proceeding › Conference contribution

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 language	English
Title of host publication	New Frontiers in Artificial Intelligence - Joint JSAI 2001 Workshop Post-Proceedings
Publisher	Springer Verlag
Pages	500-507
Number of pages	8
Volume	2253
ISBN (Print)	9783540455486
Publication status	Published - 2001
Externally published	Yes
Event	15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001 - Matsue City, Japan Duration: 2001 May 20 → 2001 May 25

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2253
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	15th International Workshop on Japanese Society for Artificial Intelligence, JSAI 2001
Country	Japan
City	Matsue City
Period	01/5/20 → 01/5/25

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

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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 proceeding › Conference 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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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.",

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

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