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Biological applications of multi-relational data mining

Publication ,  Journal Article
Page, D; Craven, M
Published in: ACM SIGKDD Explorations Newsletter
July 2003
Published version (DOI) Publisher Link

Biological databases contain a wide variety of data types, often with rich relational structure. Consequently multi-relational data mining techniques frequently are applied to biological data. This paper presents several applications of multi-relational data mining to biological data, taking care to cover a broad range of multi-relational data mining techniques.

Duke Scholars

David Page
Author David Page Biostatistics & Bioinformatics, Division of Biostatistics

Published In

ACM SIGKDD Explorations Newsletter

DOI

10.1145/959242.959250

EISSN

1931-0153

ISSN

1931-0145

Publication Date

July 2003

Volume

5

Issue

1

Start / End Page

69 / 79

Publisher

Association for Computing Machinery (ACM)
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Page, D., & Craven, M. (2003). Biological applications of multi-relational data mining. ACM SIGKDD Explorations Newsletter, 5(1), 69–79. https://doi.org/10.1145/959242.959250
Page, David, and Mark Craven. “Biological applications of multi-relational data mining.” ACM SIGKDD Explorations Newsletter 5, no. 1 (July 2003): 69–79. https://doi.org/10.1145/959242.959250.
Page D, Craven M. Biological applications of multi-relational data mining. ACM SIGKDD Explorations Newsletter. 2003 Jul;5(1):69–79.
Page, David, and Mark Craven. “Biological applications of multi-relational data mining.” ACM SIGKDD Explorations Newsletter, vol. 5, no. 1, Association for Computing Machinery (ACM), July 2003, pp. 69–79. Crossref, doi:10.1145/959242.959250.
Page D, Craven M. Biological applications of multi-relational data mining. ACM SIGKDD Explorations Newsletter. Association for Computing Machinery (ACM); 2003 Jul;5(1):69–79.

Published In

ACM SIGKDD Explorations Newsletter

DOI

10.1145/959242.959250

EISSN

1931-0153

ISSN

1931-0145

Publication Date

July 2003

Volume

5

Issue

1

Start / End Page

69 / 79

Publisher

Association for Computing Machinery (ACM)