A DIAMOND method for classifying biological data

Han-Lin Li; Yao Huei Huang; Ming Hsien Chen

doi:10.1007/978-3-642-13923-9_11

A DIAMOND method for classifying biological data

Han-Lin Li^*, Yao Huei Huang, Ming Hsien Chen

^*Corresponding author for this work

Institute of Information Management

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

2 Scopus citations

Abstract

This study proposes an effective method called DIAMOND to classify biological and medical data. Given a set of objects with some classes, DIAMOND separates the objects into different cubes, where each cube is assigned to a class. Via the union of these cubes, we utilize mixed integer programs to induce classification rules with better rates of accuracy, support and compactness. Two practical data sets, one of HSV patient results and the other of Iris flower, are tested to illustrate the advantages of DIAMOND over some current methods.

Original language	English
Title of host publication	Medical Biometrics - Second International Conference, ICMB 2010, Proceedings
Pages	104-114
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-13923-9_11
State	Published - 21 Jul 2010
Event	2nd International Conference on Medical Biometrics, ICMB 2010 - Hong Kong, China Duration: 28 Jun 2010 → 30 Jun 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6165 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Medical Biometrics, ICMB 2010
Country	China
City	Hong Kong
Period	28/06/10 → 30/06/10

Keywords

Classification rules
DIAMOND
Integer Program

Access to Document

10.1007/978-3-642-13923-9_11

Link to publication in Scopus

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Li, H-L., Huang, Y. H., & Chen, M. H. (2010). A DIAMOND method for classifying biological data. In Medical Biometrics - Second International Conference, ICMB 2010, Proceedings (pp. 104-114). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6165 LNCS). https://doi.org/10.1007/978-3-642-13923-9_11

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Li, H-L, Huang, YH & Chen, MH 2010, A DIAMOND method for classifying biological data. in Medical Biometrics - Second International Conference, ICMB 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6165 LNCS, pp. 104-114, 2nd International Conference on Medical Biometrics, ICMB 2010, Hong Kong, China, 28/06/10. https://doi.org/10.1007/978-3-642-13923-9_11

A DIAMOND method for classifying biological data. / Li, Han-Lin; Huang, Yao Huei; Chen, Ming Hsien.

Medical Biometrics - Second International Conference, ICMB 2010, Proceedings. 2010. p. 104-114 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6165 LNCS).

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

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