Evaluating hypothesis-driven exception-rule discovery with medical data sets

Einoshin Suzuki; Shusaku Tsumoto

doi:10.1007/3-540-45571-x_26

Evaluating hypothesis-driven exception-rule discovery with medical data sets

Einoshin Suzuki, Shusaku Tsumoto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Citations (Scopus)

Abstract

This paper presents a validation, with two common medical data sets, of exception-rule discovery based on a hypothesis-driven approach. The analysis confirmed the effectiveness of the approach in discovering valid, novel and surprising knowledge.

Original language	English
Title of host publication	Knowledge Discovery and Data Mining
Subtitle of host publication	Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings
Editors	Takao Terano, Huan Liu, Arbee L.P. Chen
Publisher	Springer Verlag
Pages	208-211
Number of pages	4
ISBN (Print)	3540673822, 9783540673828
DOIs	https://doi.org/10.1007/3-540-45571-x_26
Publication status	Published - 2000
Externally published	Yes
Event	4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2000 - Kyoto, Japan Duration: Apr 18 2000 → Apr 20 2000

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1805
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2000
Country/Territory	Japan
City	Kyoto
Period	4/18/00 → 4/20/00

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-45571-x_26

Cite this

Suzuki, E., & Tsumoto, S. (2000). Evaluating hypothesis-driven exception-rule discovery with medical data sets. In T. Terano, H. Liu, & A. L. P. Chen (Eds.), Knowledge Discovery and Data Mining: Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings (pp. 208-211). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1805). Springer Verlag. https://doi.org/10.1007/3-540-45571-x_26

Evaluating hypothesis-driven exception-rule discovery with medical data sets. / Suzuki, Einoshin; Tsumoto, Shusaku.
Knowledge Discovery and Data Mining: Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings. ed. / Takao Terano; Huan Liu; Arbee L.P. Chen. Springer Verlag, 2000. p. 208-211 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1805).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Suzuki, E & Tsumoto, S 2000, Evaluating hypothesis-driven exception-rule discovery with medical data sets. in T Terano, H Liu & ALP Chen (eds), Knowledge Discovery and Data Mining: Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1805, Springer Verlag, pp. 208-211, 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2000, Kyoto, Japan, 4/18/00. https://doi.org/10.1007/3-540-45571-x_26

Suzuki E, Tsumoto S. Evaluating hypothesis-driven exception-rule discovery with medical data sets. In Terano T, Liu H, Chen ALP, editors, Knowledge Discovery and Data Mining: Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings. Springer Verlag. 2000. p. 208-211. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45571-x_26

Suzuki, Einoshin ; Tsumoto, Shusaku. / Evaluating hypothesis-driven exception-rule discovery with medical data sets. Knowledge Discovery and Data Mining: Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings. editor / Takao Terano ; Huan Liu ; Arbee L.P. Chen. Springer Verlag, 2000. pp. 208-211 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Evaluating hypothesis-driven exception-rule discovery with medical data sets

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