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» Distributed data mining in grid computing environments
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HPDC
2007
IEEE
16 years 27 days ago
A statistical approach to risk mitigation in computational markets
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
Thomas Sandholm, Kevin Lai
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
16 years 23 days ago
Determining Termhood for Learning Domain Ontologies using Domain Prevalence and Tendency
In the course of reviewing existing automatic term recognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed...
Wilson Wong, Wei Liu, Mohammed Bennamoun
CCGRID
2009
IEEE
16 years 1 months ago
Self-Chord: A Bio-inspired Algorithm for Structured P2P Systems
This paper presents “Self-Chord”, a bio-inspired P2P algorithm that can be profitably adopted to build the information service of distributed systems, in particular Computati...
Agostino Forestiero, Carlo Mastroianni, Michela Me...
HPDC
2007
IEEE
16 years 27 days ago
Direct-pNFS: scalable, transparent, and versatile access to parallel file systems
Grid computations require global access to massive data stores. To meet this need, the GridNFS project aims to provide scalable, high-performance, transparent, and secure wide-are...
Dean Hildebrand, Peter Honeyman
IPPS
2005
IEEE
16 years 5 days ago
Evaluation of Rate-Based Adaptivity in Asynchronous Data Stream Joins
Continuous query systems are an intuitive way for users to access streaming data in large-scale scientific applications containing many hundreds of streams. A challenge in these ...
Beth Plale, Nithya N. Vijayakumar