Biological applications of multi-relational data mining

  • Authors:
  • David Page;Mark Craven

  • Affiliations:
  • University of Wisconsin, Madison, WI;University of Wisconsin, Madison, WI

  • Venue:
  • ACM SIGKDD Explorations Newsletter
  • Year:
  • 2003

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Abstract

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.