Effect of Data Distribution in Parallel Mining of Associations

  title={Effect of Data Distribution in Parallel Mining of Associations},
  author={David Wai-Lok Cheung and Yongqiao Xiao},
  journal={Data Mining and Knowledge Discovery},
Association rule mining is an important new problem in data mining. It has crucial applications in decision support and marketing strategy. We proposed an efficient parallel algorithm for mining association rules on a distributed share-nothing parallel system. Its efficiency is attributed to the incorporation of two powerful candidate set pruning techniques. The two techniques, distributed and global prunings, are sensitive to two data distribution characteristics: data skewness and workload… CONTINUE READING


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