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» Techniques of Cluster Algorithms in Data Mining
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105
Voted
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 2 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 2 months ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
15 years 7 months ago
Summarization - Compressing Data into an Informative Representation
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
Varun Chandola, Vipin Kumar
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 2 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
128
Voted
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
15 years 7 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu