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Objective and Subjective Algorithms for Grouping Association Rules Aijun An, Shakil Khan
 

Summary: Objective and Subjective Algorithms for Grouping Association Rules
Aijun An, Shakil Khan
Department of Computer Science
York University
Toronto, Ontario M3J 1P3 Canada
aan,skhan@cs.yorku.ca
Xiangji Huang
School of Analytic Studies and
Information Technology, York University
Toronto, Ontario M3J 1P3 Canada
jhuang@cs.yorku.ca
Abstract
We propose two algorithms for grouping and summariz-
ing association rules. The first algorithm recursively groups
rules according to the structure of the rules and generates
a tree of clusters as a result. The second algorithm groups
the rules according to the semantic distance between the
rules by making use of an autometically tagged semantic
tree-structured network of items. We provide a case study in
which the proposed algorithms are evaluated. The results

  

Source: An, Aijun - Department of Computer Science, York University (Toronto)

 

Collections: Computer Technologies and Information Sciences