Feature selection using consistency measure

Manoranjan Dash; Huan Liu; Hiroshi Motoda

doi:10.1007/3-540-46846-3_30

Feature selection using consistency measure

Manoranjan Dash, Huan Liu, Hiroshi Motoda

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

1 Scopus citations

Abstract

Feature selection methods search for an “optimal” subset of features. Many methods exist. We evaluate consistency measure along with different search techniques applied in the literature and suggest a guideline of its use.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	319-320
Number of pages	2
Volume	1721
ISBN (Print)	354066713X, 9783540667131
DOIs	https://doi.org/10.1007/3-540-46846-3_30
State	Published - 1999
Externally published	Yes
Event	2nd International Conference on Discovery Science, DS 1999 - Tokyo, Japan Duration: Dec 6 1999 → Dec 8 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1721

Other

Other	2nd International Conference on Discovery Science, DS 1999
Country/Territory	Japan
City	Tokyo
Period	12/6/99 → 12/8/99

ASJC Scopus subject areas

General Computer Science
Theoretical Computer Science

Access to Document

10.1007/3-540-46846-3_30

Cite this

Dash, M., Liu, H., & Motoda, H. (1999). Feature selection using consistency measure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1721, pp. 319-320). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1721). Springer Verlag. https://doi.org/10.1007/3-540-46846-3_30

Feature selection using consistency measure. / Dash, Manoranjan; Liu, Huan; Motoda, Hiroshi.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1721 Springer Verlag, 1999. p. 319-320 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1721).

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

Dash, M, Liu, H & Motoda, H 1999, Feature selection using consistency measure. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1721, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1721, Springer Verlag, pp. 319-320, 2nd International Conference on Discovery Science, DS 1999, Tokyo, Japan, 12/6/99. https://doi.org/10.1007/3-540-46846-3_30

Dash M, Liu H, Motoda H. Feature selection using consistency measure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1721. Springer Verlag. 1999. p. 319-320. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-46846-3_30

Dash, Manoranjan ; Liu, Huan ; Motoda, Hiroshi. / Feature selection using consistency measure. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1721 Springer Verlag, 1999. pp. 319-320 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Feature selection using consistency measure

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