A novel parallel framework for metaheuristic-based frequent itemset mining
(2019)
Conference Proceeding
Djenouri, Y., Djenouri, D., Belhadi, A., Chun-Wei Lin, J., Bendjoudi, A., & Fournier-Viger, P. (2019). A novel parallel framework for metaheuristic-based frequent itemset mining. https://doi.org/10.1109/cec.2019.8790116
Frequent Itemset Mining (FIM) is an important but very time-consuming data mining task. As a result, traditional FIM algorithms are often not scalable to large databases. To address this issue, several metaheuristics have been developed in recent yea... Read More about A novel parallel framework for metaheuristic-based frequent itemset mining.