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SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
13 years 12 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
CCGRID
2010
IEEE
12 years 11 months ago
WORKEM: Representing and Emulating Distributed Scientific Workflow Execution State
- Scientific workflows have become an integral part of cyberinfrastructure as their computational complexity and data sizes have grown. However, the complexity of the distributed i...
Lavanya Ramakrishnan, Dennis Gannon, Beth Plale
SC
2009
ACM
14 years 2 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
ICTAI
2003
IEEE
14 years 29 days ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
SC
2005
ACM
14 years 1 months ago
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. H...
Rong Ge, Xizhou Feng, Kirk W. Cameron