P-Mine: Parallel itemset mining on large datasets

@article{Baralis2013PMinePI,
  title={P-Mine: Parallel itemset mining on large datasets},
  author={Elena Baralis and Tania Cerquitelli and Silvia Chiusano and Alberto Grand},
  journal={2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW)},
  year={2013},
  pages={266-271}
}
Itemset mining is a well-known exploratory technique used to discover interesting correlations hidden in a data collection. Since ever increasing amounts of data are being collected and stored (e.g., business transactions, medical and biological data, context-aware applications), scalable and efficient approaches are needed to analyzing these large data collections. This paper proposes a parallel disk-based approach to efficiently supporting frequent itemset mining on a multi-core processor… CONTINUE READING
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