Multi-strategy instance selection in mining chronic hepatitis data

Masatoshi Jumi, Einoshin Suzuki, Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Katsuhiko Takabayashi

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

2 Citations (Scopus)

Abstract

In this paper, we propose a method which splits examples into typical and exceptional by mainly assuming that an example represents a case. The split is based on our previously developed data mining methods and a novel likelihood-based criterion. Such a split represents a highly intellectual activity thus the method is assumed to support the users, who are typically medical experts. Experiments with the chronic hepatitis data showed that our proposed method is effective and promising from various viewpoints.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages475-484
Number of pages10
Publication statusPublished - Dec 1 2005
Externally publishedYes
Event15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005 - Saratoga Springs, NY, United States
Duration: May 25 2005May 28 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3488 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005
CountryUnited States
CitySaratoga Springs, NY
Period5/25/055/28/05

Fingerprint

Data mining
Mining
Experiments
Likelihood
Data Mining
Strategy
Experiment

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Jumi, M., Suzuki, E., Ohshima, M., Zhong, N., Yokoi, H., & Takabayashi, K. (2005). Multi-strategy instance selection in mining chronic hepatitis data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 475-484). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3488 LNAI).

Multi-strategy instance selection in mining chronic hepatitis data. / Jumi, Masatoshi; Suzuki, Einoshin; Ohshima, Muneaki; Zhong, Ning; Yokoi, Hideto; Takabayashi, Katsuhiko.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 475-484 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3488 LNAI).

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

Jumi, M, Suzuki, E, Ohshima, M, Zhong, N, Yokoi, H & Takabayashi, K 2005, Multi-strategy instance selection in mining chronic hepatitis data. in 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. 3488 LNAI, pp. 475-484, 15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005, Saratoga Springs, NY, United States, 5/25/05.
Jumi M, Suzuki E, Ohshima M, Zhong N, Yokoi H, Takabayashi K. Multi-strategy instance selection in mining chronic hepatitis data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 475-484. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Jumi, Masatoshi ; Suzuki, Einoshin ; Ohshima, Muneaki ; Zhong, Ning ; Yokoi, Hideto ; Takabayashi, Katsuhiko. / Multi-strategy instance selection in mining chronic hepatitis data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. pp. 475-484 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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