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» Clustering Transactions Using Large Items
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ESANN
2007
14 years 9 days ago
A new feature selection scheme using data distribution factor for transactional data
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
Piyang Wang, Tommy W. S. Chow
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 11 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 11 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
IISWC
2009
IEEE
14 years 5 months ago
On the (dis)similarity of transactional memory workloads
— Programming to exploit the resources in a multicore system remains a major obstacle for both computer and software engineers. Transactional memory offers an attractive alternat...
Clay Hughes, James Poe, Amer Qouneh, Tao Li
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
14 years 7 days ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge