Towards the Optimization of Data Mining Execution Process in Distributed Environments

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Provided by: Binary Information Press
Topic: Data Management
Format: PDF
The distribution and heterogeneity of data resources in loosely coupled distributed environments bring the challenges to data mining applications, because the parallelism and collaboration of nodes should be considered during the optimization and execution. Data mining algorithms can be represented as data mining execution processes which are composed of finer grained operators, and optimizing the execution processes according to the distribution of resources is critical for the execution performance and presents several algorithmic and systemic challenges.
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