Xiaolei Li Jiawei Han Xiaoxin Yin Dong Xin University of Illinois at...  Home/Search
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Abstract: 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 Gaussin transformation-based regression model that captures time-variant relationships between customers and products. Moreover, since it is interesting to discover such relationships in a... (Update)
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BibTeX entry: (Update)
@misc{ jiawei-mining,
author = "Xiaolei Li Jiawei",
title = "Mining Evolving Customer-Product Relationships in Multi-Dimensional Space",
url = "citeseer.ist.psu.edu/745188.html" }
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393 Data cube: A relational aggregation operator generalizing gr.. - Gray, Chaudhuri et al. - 1997
340 Mining sequential patterns - Agrawal, Srikant
126 Fast similarity search in the presence of noise (context) - Agrawal, Lin et al.
53 Mining timechanging data streams - Hulten, Spencer et al.
31 Multidimensional regression analysis of time-series data str.. - Chen, Dong et al.
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