FP-Viz: Visual Frequent Pattern Mining

نویسندگان

  • Daniel A. Keim
  • Jörn Schneidewind
  • Mike Sips
چکیده

Frequent pattern mining plays an essential role in many data analysis tasks including association-, correlation-, and causality analysis and has broad applications. Examples are market basket analysis and web click stream analysis. Although a number of efficient methods for mining frequent patterns where proposed in the past, there exist only a small number of visual exploration tools for discovering frequent patterns. In this paper we present a novel visualization technique for exploring frequent itemsets interactivly, based on a radial visual layout approach.

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تاریخ انتشار 2005