A Novel Data Partitioning Approach for Association Rule Mining on Grids

@inproceedings{Tlili2012AND,
  title={A Novel Data Partitioning Approach for Association Rule Mining on Grids},
  author={Raja Tlili and Yahya Slimani},
  year={2012}
}
Mining association rules refers to extracting useful knowledge from large databases. Algorithms of this technique are both data and computation-intensive, which make grid platforms very attractive for them. However, to exploit these platforms, new data partitioning features are required where the specificities of both association rule mining technique and grids must be taken into consideration. In this paper, we propose a novel data partitioning approach for distributed association rule mining… CONTINUE READING

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