JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 3    Issue : 10    Date : October 2008

An Effective Mining Algorithm for Weighted Association Rules in Communication Networks
Jian Wu and Xing ming Li
Page(s): 20-27
Full Text:
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Abstract
The mining of weighted association rules is one of the primary methods used in communication
alarm correlation analysis. With large communication alarm database, the traditional methods often
treated each item evenly that makes the process of mining association rules time consuming. To
improve the efficiency, items appearing in transactions are weighted using the analytic hierarchy
process to reflect the importance of them which is more meaningful in some application. This paper
implements a fast and stable algorithm to mining weighted association rules based on ISS(item
sequence sets). Experiments on performance study will prove the superiority of the new algorithm.

Index Terms
Association rules, Data mining, Mining methods and algorithms, Rule-based databases