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133
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DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 7 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...
149
Voted
ISPAN
1997
IEEE
15 years 7 months ago
CASS: an efficient task management system for distributed memory architectures
The thesis of this research is that the task of exposing the parallelism in a given application should be left to the algorithm designer, who has intimate knowledge of the applica...
Jing-Chiou Liou, Michael A. Palis
122
Voted
AUSAI
2003
Springer
15 years 8 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
143
Voted
BMCBI
2010
151views more  BMCBI 2010»
15 years 3 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
117
Voted
IPPS
1999
IEEE
15 years 7 months ago
A Flexible Clustering and Scheduling Scheme for Efficient Parallel Computation
Clustering and scheduling of tasks for parallel implementation is a well researched problem. Several techniques have been presented in the literature to improve performance and re...
S. Chingchit, Mohan Kumar, Laxmi N. Bhuyan