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» Distributed data mining in grid computing environments
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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 10 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
CLUSTER
2003
IEEE
15 years 10 months ago
GridRM: An Extensible Resource Monitoring System
GridRM is an open and extensible resource monitoring system, based on the Global Grid Forum's Grid Monitoring Architecture (GMA). GridRM is not intended to interact with appl...
Mark Baker, Garry Smith
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
15 years 11 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
CCGRID
2007
IEEE
15 years 11 months ago
Standardization of an API for Distributed Resource Management Systems
Today’s cluster and grid environments demand the usage of product-specific APIs and tools for developing distributed applications. We give an overview of the Distributed Resour...
Peter Tröger, Hrabri Rajic, Andreas Haas, Pio...
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GRID
2006
Springer
15 years 5 months ago
Metascheduling Multiple Resource Types using the MMKP
Grid computing involves the transparent sharing of computational resources of many types by users across large geographic distances. The altruistic nature of many current grid reso...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...