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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 4 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...
147
Voted
FGCS
2008
103views more  FGCS 2008»
15 years 4 months ago
A case for cooperative and incentive-based federation of distributed clusters
Research interest in Grid computing has grown significantly over the past five years. Management of distributed resources is one of the key issues in Grid computing. Central to ma...
Rajiv Ranjan, Aaron Harwood, Rajkumar Buyya
122
Voted
CIKM
1995
Springer
15 years 7 months ago
Learning Subjective Relevance to Facilitate Information Access
As the amount of available electronic information is dramatically increasing, the ability for rapid and e ective access to information has become critical. Most traditional inform...
James R. Chen, Nathalie Mathe
154
Voted
IJHCR
2010
131views more  IJHCR 2010»
15 years 1 months ago
Opportunistic Software Deployment in Disconnected Mobile Ad Hoc Networks
This paper presents a middleware platform allowing the dissemination of software components on handheld devices forming a disconnected MANET. It is based on a model that exploits ...
Frédéric Guidec, Nicolas Le Sommer, ...
146
Voted
IADIS
2003
15 years 5 months ago
Modelling Adaptive Web Applications
Conceptual Modelling approaches for the web need extensions to specify dynamic personalization properties in order to design more powerful web applications. Current approaches pro...
Irene Garrigós, Jaime Gómez, Cristin...