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» Troubleshooting Distributed Systems via Data Mining
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ATAL
2007
Springer
15 years 3 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
15 years 3 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
15 years 2 months 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
15 years 1 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
15 years 1 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