The use of data mining techniques to classify styles and types of web-based information: generation of style sheets using data mining

  • Authors:

  • Kathryn E. B. Thornton;Mark Carrington

  • Affiliations:

  • Data Mining Group, Department of Computer Science, Durham University, Durham City, Durham, UK;Data Mining Group, Department of Computer Science, Durham University, Durham City, Durham, UK

  • Venue:
  • AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
  • Year:
  • 2003

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Abstract

In this paper we describe a tool, based upon Data Mining techniques, which can be used to classify information contained on web pages and hence generate style sheets (or XML and XSL)1 for use in web page/site creation. We show that by considering the information contained on a web page in terms of its position, nature, and type it was possible to classify the web sites investigated into ten classes. We also describe how, as a by-product of this work, we have produced a set of style sheets which can be used as a basis for web page/site design. The implications of the use of the style sheets for web page/site design are discussed as well as the potential for the use of our tool in enabling companies and/or individuals to standardize their web site(s).