Effective XML Classification Using Content and Structural Information via Rule Learning

  • Authors:
  • Gianni Costa;Riccardo Ortale;Ettore Ritacco

  • Affiliations:
  • -;-;-

  • Venue:
  • ICTAI '11 Proceedings of the 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence
  • Year:
  • 2011

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Abstract

We propose a new approach to XML classification, that uses a particular rule-learning technique for the induction of interpretable classification models. These separate the individual classes of XML documents by looking at the presence within the XML documents themselves of certain features, that provide information on their content and structure. The devised approach induces classifiers with outperforming effectiveness in comparison to several established competitors.