Mining maximal frequent itemsets: A java implementation of FPMAX algorithm

@article{Ziani2009MiningMF,
  title={Mining maximal frequent itemsets: A java implementation of FPMAX algorithm},
  author={Benameur Ziani and Youcef Ouinten},
  journal={2009 International Conference on Innovations in Information Technology (IIT)},
  year={2009},
  pages={330-334}
}
Mining maximal frequent itemsets is an important issue in many data mining applications. In our thesis work on selection and tuning of indices in data werhouses, we have proposed a strategy based on mining maximal frequent itemsets in order to determine a set of candidate indices from a given workload. In a first step we have to select an algorithm, for mining maximal frequent itemsets, to implement. Experimental results in the repository of the workshops on Frequent Itemset Mining… CONTINUE READING

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