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» Troubleshooting Distributed Systems via Data Mining
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KDD
2003
ACM
162views Data Mining» more  KDD 2003»
14 years 8 months ago
Improving spatial locality of programs via data mining
In most computer systems, page fault rate is currently minimized by generic page replacement algorithms which try to model the temporal locality inherent in programs. In this pape...
Karlton Sequeira, Mohammed Javeed Zaki, Boleslaw K...
PKDD
2005
Springer
136views Data Mining» more  PKDD 2005»
14 years 1 months ago
Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids
This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emerging Web Services Resourc...
Domenico Talia, Paolo Trunfio, Oreste Verta
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 1 months ago
DXCS: an XCS system for distributed data mining
XCS is a flexible system for data mining due to its ability to deal with environmental changes, learn online with little prior knowledge and evolve accurate and maximally general...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan
CLADE
2004
IEEE
13 years 11 months ago
Support for Data-Intensive, Variable-Granularity Grid Applications via Distributed File System Virtualization - A Case Study of
A key challenge faced by large-scale, distributed applications in Grid environments is efficient, seamless data management. In particular, for applications that can benefit from a...
Jithendar Paladugula, Ming Zhao 0002, Renato J. O....
ECAI
2004
Springer
14 years 27 days ago
Inference Attacks in Peer-to-Peer Homogeneous Distributed Data Mining
Spontaneous formation of peer-to-peer agent-based data mining systems seems a plausible scenario in years to come. However, the emergence of peer-to-peer environments further exace...
Josenildo Costa da Silva, Matthias Klusch, Stefano...