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» Applying Grid Technologies to Distributed Data Mining
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JVA
2006
IEEE
14 years 1 months ago
Simulated Annealing for Grid Scheduling Problem
Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographicall...
Stefka Fidanova
ESCIENCE
2006
IEEE
14 years 1 months ago
Provisioning and Scheduling Resources for World-Wide Data-Sharing Services
Grid computing is becoming the natural way to aggregate and share large and heterogeneous sets of resources. However, grid development and acceptance hinge on proving that grids r...
Alexandru Iosup, Pawel Garbacki, Dick H. J. Epema
PVM
2001
Springer
14 years 10 days ago
Parallel IO Support for Meta-computing Applications: MPI_Connect IO Applied to PACX-MPI
Parallel IO (PIO) support for larger scale computing is becoming more important as application developers better understand its importance in reducing overall execution time by avo...
Graham E. Fagg, Edgar Gabriel, Michael M. Resch, J...
WECWIS
2000
IEEE
144views ECommerce» more  WECWIS 2000»
14 years 8 days ago
An Architecture to Support Distributed Data Mining Services in E-Commerce Environments
This paper presents our hybrid architectural model for Distributed Data Mining (DDM) which is tailored to meet the needs of e-businesses where application service providers sell D...
Shonali Krishnaswamy, Arkady B. Zaslavsky, Seng Wa...
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
14 years 1 months ago
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Etienne Cuvelier, Monique Noirhomme-Fraiture