Online mining dynamic web news patterns using machine learn methods

  • Authors:
  • Jian-Wei Liu;Shou-Jian Yu;Jia-Jin Le

  • Affiliations:
  • College of Information Science & Technology, Donghua University;College of Information Science & Technology, Donghua University;College of Information Science & Technology, Donghua University

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
  • Year:
  • 2005

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Abstract

Given the popularity of Web news services, we focus our attention on mining hierarchical patterns from Web news stream data. To address this problem, we propose a novel algorithm, i.e., FARTMAP (fast ARTMAP). We devise a new match and activation function which both simple for computation and understanding. The novelty of the proposed algorithm is the ability to identify meaningful news patterns while reducing the amount of computations by maintaining cluster structure incrementally. Experimental results demonstrate that the proposed clustering algorithm produces high-quality patterns discovery while fulfill a reasonable run time.