Investigation of rule interestingness in medical data mining

Miho Ohsaki, Shinya Kitaguchi, Hideto Yokoi, Takahira Yamaguchi

研究成果: Conference contribution

7 引用 (Scopus)

抄録

This research experimentally investigates the performance of conventional rule interestingness measures and discusses their usefulness for supporting KDD through human-system interaction in medical domain. We compared the evaluation results by a medical expert and those by selected sixteen kinds of interestingness measures for the rules discovered in a dataset on hepatitis. χ2 measure, recall, and accuracy demonstrated the highest performance, and specificity and prevalence did the lowest. The interestingness measures showed a complementary relationship for each other. These results indicated that some interestingness measures have the possibility to predict really interesting rules at a certain level and that the combinational use of interestingness measures will be useful. We then discussed how to combinationally utilize interestingness measures and proposed a post-processing user interface utilizing them, which supports KDD through human-system interaction.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ174-189
ページ数16
3430 LNAI
出版物ステータスPublished - 2005
イベントSecond International Workshop on Active Mining, AM 2003 - Maebashi, Japan
継続期間: 2003 10 282003 10 31

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3430 LNAI
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

OtherSecond International Workshop on Active Mining, AM 2003
Japan
Maebashi
期間03/10/2803/10/31

Fingerprint

Data Mining
User interfaces
Data mining
Processing
Hepatitis
Research
Interaction
Post-processing
User Interface
Specificity
Lowest
High Performance
Predict
Evaluation
Datasets

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

これを引用

Ohsaki, M., Kitaguchi, S., Yokoi, H., & Yamaguchi, T. (2005). Investigation of rule interestingness in medical data mining. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 3430 LNAI, pp. 174-189). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 3430 LNAI).

Investigation of rule interestingness in medical data mining. / Ohsaki, Miho; Kitaguchi, Shinya; Yokoi, Hideto; Yamaguchi, Takahira.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 3430 LNAI 2005. p. 174-189 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 3430 LNAI).

研究成果: Conference contribution

Ohsaki, M, Kitaguchi, S, Yokoi, H & Yamaguchi, T 2005, Investigation of rule interestingness in medical data mining. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻. 3430 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 3430 LNAI, pp. 174-189, Second International Workshop on Active Mining, AM 2003, Maebashi, Japan, 03/10/28.
Ohsaki M, Kitaguchi S, Yokoi H, Yamaguchi T. Investigation of rule interestingness in medical data mining. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 3430 LNAI. 2005. p. 174-189. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Ohsaki, Miho ; Kitaguchi, Shinya ; Yokoi, Hideto ; Yamaguchi, Takahira. / Investigation of rule interestingness in medical data mining. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 3430 LNAI 2005. pp. 174-189 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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