Toward XML-Based Knowledge Discovery Systems

  • Authors:
  • Rosa Meo;Giuseppe Psaila

  • Affiliations:
  • -;-

  • Venue:
  • ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
  • Year:
  • 2002

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Abstract

Inductive databases are intended to be general purposedatabases in which both source data and mined patterns canbe represented, retrieved and manipulated; however, theheterogeneity of models for mined patterns makes difficult torealize them. In this paper, we explore the feasibility of usingXML as the unifying framework for inductive databases,introducing a suitable data model called XDM (XML forData Mining). XDM is designed to describe source rawdata, heterogeneous mined patterns and data mining statements,so that they can be stored inside a unique XML-basedinductive database.