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» Applying Grid Technologies to Distributed Data Mining
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RSFDGRC
2005
Springer
151views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
DIXER - Distributed Executor for Rough Set Exploration System
We present the Distributed Executor for RSES (DIXER) which is a supplementary software for the Rough Set Exploration System (RSES). It takes an advantage of grid computing paradigm...
Jan G. Bazan, Rafal Latkowski, Marcin S. Szczuka
ATAL
2007
Springer
14 years 2 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
GCA
2008
13 years 9 months ago
Network-aware Peer-to-Peer Based Grid Inter-Domain Scheduling
Grid technologies have enabled the aggregation of geographically distributed resources, in the context of a particular application. The network remains an important requirement for...
Agustín C. Caminero, Omer F. Rana, Blanca C...
RTAS
2005
IEEE
14 years 1 months ago
Applying Sensitivity Analysis in Real-Time Distributed Systems
During real-world design of embedded real-time systems, it cannot be expected that all performance data required for scheduling analysis is fully available up front. In such situa...
Razvan Racu, Marek Jersak, Rolf Ernst
IPPS
2003
IEEE
14 years 1 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal