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» Fully distributed EM for very large datasets
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AUSAI
2003
Springer
13 years 10 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
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 2 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
13 years 12 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
CCGRID
2003
IEEE
13 years 9 months ago
Improving Access to Multi-dimensional Self-describing Scientific Dataset
Applications that query into very large multidimensional datasets are becoming more common. Many self-describing scientific data file formats have also emerged, which have structu...
Beomseok Nam, Alan Sussman
ISADS
1999
IEEE
13 years 9 months ago
CORBA based Architecture for Large Scale Workflow
Standard client-server workflow management systems have an intrinsic scalability limitation, the central server, which represents a bottleneck for large-scale applications. This s...
Roberto Silveira Silva Filho, Jacques Wainer, Edmu...