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ICDE
2005
IEEE

Mining Evolving Customer-Product Relationships in Multi-Dimensional Space

9 years 4 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships between customers and items, especially their evolution with time, have not been studied thoroughly. In this paper, we propose a Gaussian transformation-based regression model that captures time-variant relationships between customers and products. Moreover, since it is interesting to discover such relationships in a multi-dimensional space, an efficient method has been developed to compute multi-dimensional aggregates of such curves in a data cube environment. Our experimental results have demonstrated the promise of the approach.
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 2005
Where ICDE
Authors Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
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