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» Troubleshooting Distributed Systems via Data Mining
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ATAL
2007
Springer
14 years 1 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
IPPS
2008
IEEE
14 years 1 months ago
Improving software reliability and productivity via mining program source code
A software system interacts with third-party libraries through various APIs. Insufficient documentation and constant refactorings of third-party libraries make API library reuse ...
Tao Xie, Mithun Acharya, Suresh Thummalapenta, Kun...
ICDCS
2002
IEEE
14 years 14 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
ICDCSW
2000
IEEE
13 years 12 months ago
Adding Mobility to Non-Mobile Web Robots
In this paper we will show that it is possible to combine mobile agent technology with existing non-mobile data mining applications. The motivation for this is the advantage mobil...
Nils P. Sudmann, Dag Johansen
LCPC
1993
Springer
13 years 11 months ago
Maximizing Loop Parallelism and Improving Data Locality via Loop Fusion and Distribution
Abstract. Loop fusion is a program transformation that merges multiple loops into one. It is e ective for reducing the synchronization overhead of parallel loops and for improving ...
Ken Kennedy, Kathryn S. McKinley