Cluster analysis and association analysis for the same data

Authors:
Huaiguo Fu
Affiliations:
Telecommunications Software & Systems Group, Waterford Institute of Technology, Waterford, Ireland
Venue:
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Year:
2008

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Abstract

Both cluster analysis and association analysis are important tasks of data mining. In some applications, we need both cluster analysis and association analysis for the same data. Each task takes very high time cost to deal with large data. In order to reduce expensive cost of the two mining tasks for large data set of transactions, we propose one strategy to unify cluster analysis and association analysis. This paper presents a new core algorithm of the strategy for analysis of large and high-dimensional data as well. The experimental results show the efficiency of this algorithm.