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» Distributed Data Mining Models as Services on the Grid
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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 6 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
ICONIP
2008
15 years 7 months ago
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed ...
Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae...
IPPS
2006
IEEE
16 years 10 days ago
Anticipated distributed task scheduling for grid environments
Heterogeneous distributed environments or grid environments provide large computing resources for the execution of large scientific applications. The effective use of those plat...
Thomas Rauber, Gudula Rünger
ICAS
2008
IEEE
201views Robotics» more  ICAS 2008»
16 years 23 days ago
Distributed Reasoning for Context-Aware Services through Design of an OWL Meta-Model
Abstract—A growing number of applications start using Semantic Web technologies. The base concept in this technology is the use of ontologies, allowing first-order logic reasoni...
Stijn Verstichel, Matthias Strobbe, Pieter Simoens...
POLICY
2005
Springer
15 years 11 months ago
A Model for Usage Policy-Based Resource Allocation in Grids
Challenging usage policy issues can arise within virtual organizations (VOs) that integrate participants and resources spanning multiple physical institutions. Participants may wi...
Catalin Dumitrescu, Michael Wilde, Ian T. Foster