A novel multi-core algorithm for frequent itemsets mining in data streams

@article{BustioMartnez2019ANM,
  title={A novel multi-core algorithm for frequent itemsets mining in data streams},
  author={L{\'a}zaro Bustio-Mart{\'i}nez and Alfredo Mu{\~n}oz-Brise{\~n}o and Ren{\'e} Cumplido and Raudel Hern{\'a}ndez-Le{\'o}n and Claudia Feregrino Uribe},
  journal={Pattern Recognition Letters},
  year={2019},
  volume={125},
  pages={241-248}
}
  • Lázaro Bustio-Martínez, Alfredo Muñoz-Briseño, +2 authors Claudia Feregrino Uribe
  • Published in Pattern Recognition Letters 2019
  • DOI:10.1016/j.patrec.2019.05.003
Abstract Data streams are modern data sources that are gaining attention as a consequence of their many practical applications (they can be found in data transmission, eCommerce, and intrusion detection system among others). Nevertheless, the efforts to obtain insights from data streams are limited due to their massive information volume and the time needed to process them. In this paper, a new approach for Frequent Itemsets Mining on data streams based on prefix trees which takes advantage of… CONTINUE READING

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