An Approach to Web Page Classification based on Granules

  • Authors:
  • Qiguo Duan;Duoqian Miao;Ruizhi Wang;Min Chen

  • Affiliations:
  • -;-;-;-

  • Venue:
  • WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2007

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Abstract

Granular computing is a new conceptual and computing paradigm of information processing, the idea of which is the use of granules for problem solving at different granularities. Web page classification is an important research direction for Web mining. In this paper, we propose an approach to Web page classification based on granules. Some concepts are defined firstly. Then, a Web page classification framework based on granules is built and an automatic classification algorithm is proposed. Experiment results demonstrate that the proposed approach is promising and effective.1