Evaluation of rule interestingness measures with a clinical dataset on hepatitis

Miho Ohsaki; Shinya Kitaguchi; Kazuya Okamoto; Hideto Yokoi; Takahira Yamaguchi

doi:10.1007/978-3-540-30116-5_34

Evaluation of rule interestingness measures with a clinical dataset on hepatitis

Miho Ohsaki, Shinya Kitaguchi, Kazuya Okamoto, Hideto Yokoi, Takahira Yamaguchi

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

80 Citations (Scopus)

Abstract

This research empirically investigates the performance of conventional rule interestingness measures and discusses their practicality for supporting KDD through human-system interaction in medical domain. We compared the evaluation results by a medical expert and those by selected measures for the rules discovered from a dataset on hepatitis. Recall, Jaccard, Kappa, CST, χ²-M, and Peculiarity demonstrated the highest performance, and many measures showed a complementary trend under our experimental conditions. These results indicate that some measures can predict really interesting rules at a certain level and that their combinational use will be useful.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi
Publisher	Springer Verlag
Pages	362-373
Number of pages	12
ISBN (Print)	3540231080, 9783540231080
DOIs	https://doi.org/10.1007/978-3-540-30116-5_34
Publication status	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3202
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-540-30116-5_34

Cite this

Ohsaki, M., Kitaguchi, S., Okamoto, K., Yokoi, H., & Yamaguchi, T. (2004). Evaluation of rule interestingness measures with a clinical dataset on hepatitis. In J-F. Boulicaut, F. Esposito, F. Giannotti, & D. Pedreschi (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 362-373). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3202). Springer Verlag. https://doi.org/10.1007/978-3-540-30116-5_34

Evaluation of rule interestingness measures with a clinical dataset on hepatitis. / Ohsaki, Miho; Kitaguchi, Shinya; Okamoto, Kazuya et al.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Jean-Francois Boulicaut; Floriana Esposito; Fosca Giannotti; Dino Pedreschi. Springer Verlag, 2004. p. 362-373 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3202).

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

Ohsaki, M, Kitaguchi, S, Okamoto, K, Yokoi, H & Yamaguchi, T 2004, Evaluation of rule interestingness measures with a clinical dataset on hepatitis. in J-F Boulicaut, F Esposito, F Giannotti & D Pedreschi (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3202, Springer Verlag, pp. 362-373. https://doi.org/10.1007/978-3-540-30116-5_34

Ohsaki M, Kitaguchi S, Okamoto K, Yokoi H, Yamaguchi T. Evaluation of rule interestingness measures with a clinical dataset on hepatitis. In Boulicaut J-F, Esposito F, Giannotti F, Pedreschi D, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 362-373. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30116-5_34

Ohsaki, Miho ; Kitaguchi, Shinya ; Okamoto, Kazuya et al. / Evaluation of rule interestingness measures with a clinical dataset on hepatitis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Jean-Francois Boulicaut ; Floriana Esposito ; Fosca Giannotti ; Dino Pedreschi. Springer Verlag, 2004. pp. 362-373 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Evaluation of rule interestingness measures with a clinical dataset on hepatitis

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UN SDGs

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