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» Clustering Customer Transactions: A Rough Set Based Approach
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CIKM
1999
Springer
13 years 9 months ago
Clustering Transactions Using Large Items
In traditional data clustering, similarity of a cluster of objects is measured by pairwise similarity of objects in that cluster. We argue that such measures are not appropriate f...
Ke Wang, Chu Xu, Bing Liu
IQ
2004
13 years 6 months ago
An Algebraic Approach to Quality Metrics for Customer Recognition Systems
: Success in implementing a Customer Relationship Management (CRM) system requires close attention to data quality issues. However, most of the literature focuses on the quality of...
John R. Talburt, Kimberly Hess, Richard Wang, Emil...
CIKM
2006
Springer
13 years 6 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
13 years 10 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
13 years 9 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...