A Hierarchical Dynamic Load Balancing Strategy for Distributed Data Mining

Abstract

Extracting useful knowledge from data sets measuring in gigabytes and even terabytes is a challenging research area for the data mining community. Sequential approaches suffer from a performance problem due to the fact that they have to mine voluminous databases. Parallelism is introduced as an important solution that could improve the response time and the… (More)

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Cite this paper

@inproceedings{Tlili2012AHD, title={A Hierarchical Dynamic Load Balancing Strategy for Distributed Data Mining}, author={Raja Tlili and Yahya Slimani}, year={2012} }