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» Distributed data mining in grid computing environments
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IPPS
2009
IEEE
16 years 1 months ago
Multi-dimensional characterization of temporal data mining on graphics processors
Through the algorthmic design patterns of data parallelism and task parallelism, the graphics processing unit (GPU) offers the potential to vastly accelerate discovery and innovat...
Jeremy S. Archuleta, Yong Cao, Thomas Scogland, Wu...
MABS
2004
Springer
15 years 11 months ago
Smooth Scaling Ahead: Progressive MAS Simulation from Single PCs to Grids
The emerging ”Computational Grid” infrastructure poses many new opportunities for the developing science of large scale multiagent simulation. The ability to migrate agent expe...
Les Gasser, Kelvin Kakugawa, Brant Chee, Marc Este...
HPDC
2007
IEEE
16 years 22 days ago
Towards adaptive, scalable, and reliable resource provisioning for wsrf-compliant applications
Although WSRF (Web Services Resource Framework) and Java-based hosting environment have been successful in dealing with the heterogeneity of resources and the diversity of applica...
Eun-Kyu Byun, Jae-Wan Jang, Jin-Soo Kim
165
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KDD
1999
ACM
104views Data Mining» more  KDD 1999»
15 years 10 months ago
Learning Rules from Distributed Data
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowye...
INFOVIS
2000
IEEE
15 years 10 months ago
Visualizing Sequential Patterns for Text Mining
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patte...
Pak Chung Wong, Wendy Cowley, Harlan Foote, Elizab...