SPMF > [video] Mining Correlated High Utility Patterns (FCHM)

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Implementation and datasets:

The source code of FCHM and datasets are available in the SPMF software.

The following article describes the first version of the FCHM algorithm which used the bond measure to assess correlation:

Fournier-Viger, P., Lin, C. W., Dinh, T., Le, H. B. (2016). Mining Correlated High-Utility Itemsets Using the bond Measure. Proc. 11 th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2016), Springer LNAI, 14 pages, to appear.

There is an extended version of the above paper, which modifies FCHM to use the all-confidence measure. This is the FCHM_allconfidence algorithm .

Fournier-Viger, P., Zhang, Y., Lin, J. C.-W., Dinh, T., Le, B. (2018) Mining Correlated High-Utility Itemsets Using Various Correlation Measures. Logic Journal of the IGPL, Oxford Academic, to appear.

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