Prediction rule discovery based on dynamic bias selection

Einoshin Suzuki; Toru Ohno

Prediction rule discovery based on dynamic bias selection

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

Abstract

This paper presents an algorithm for discovering prediction rules with dynamic bias selection. A prediction rule, which is aimed at predicting the class of an unseen example, deserves special attention due to its usefulness. However, little attention has been paid to the dynamic selection of biases in prediction rule discovery. A dynamic selection of biases is useful since it reduces humans’ burden of choosing and adjusting multiple mining algorithms. In this paper, we propose a novel rule discovery algorithm D³BiS, which is based on a data-driven criterion. Our approach has been validated using 17 data sets.

Original language	English
Title of host publication	Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings
Editors	Lizhu Zhou, Ning Zhong
Publisher	Springer Verlag
Pages	504-508
Number of pages	5
ISBN (Print)	3540658661, 9783540658665
Publication status	Published - 1999
Externally published	Yes
Event	3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999 - Beijing, China Duration: Apr 26 1999 → Apr 28 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1574
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999
Country/Territory	China
City	Beijing
Period	4/26/99 → 4/28/99

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Cite this

Suzuki, E., & Ohno, T. (1999). Prediction rule discovery based on dynamic bias selection. In L. Zhou, & N. Zhong (Eds.), Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings (pp. 504-508). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1574). Springer Verlag.

Prediction rule discovery based on dynamic bias selection. / Suzuki, Einoshin; Ohno, Toru.
Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings. ed. / Lizhu Zhou; Ning Zhong. Springer Verlag, 1999. p. 504-508 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1574).

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

Suzuki, E & Ohno, T 1999, Prediction rule discovery based on dynamic bias selection. in L Zhou & N Zhong (eds), Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1574, Springer Verlag, pp. 504-508, 3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999, Beijing, China, 4/26/99.

Suzuki E, Ohno T. Prediction rule discovery based on dynamic bias selection. In Zhou L, Zhong N, editors, Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings. Springer Verlag. 1999. p. 504-508. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Suzuki, Einoshin ; Ohno, Toru. / Prediction rule discovery based on dynamic bias selection. Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings. editor / Lizhu Zhou ; Ning Zhong. Springer Verlag, 1999. pp. 504-508 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Prediction rule discovery based on dynamic bias selection

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