(video) Minimal Periodic Frequent Itemset with PFPM

This is a video presentation of the paper “PFPM: Discovering Periodic Frequent Patterns with Novel Periodicity Measures” about periodic pattern mining using PFPM. It is part of my new series of videos about data mining algorithms

(link to download the video if the player does not work)

More information about the PFPM algorithm are provided in this research paper:

Fournier-Viger, P., Lin, C.-W., Duong, Q.-H., Dam, T.-L., Sevcic, L., Uhrin, D., Voznak, M. (2016). PFPM: Discovering Periodic Frequent Patterns with Novel Periodicity Measures. Proc. 2nd Czech-China Scientific Conference 2016, Elsevier, 10 pages.

The source code and datasets of the PFPM algorithm can be downloaded here:

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

I will post more videos like this in the near future. If you have any comments, please post them in the comment section!


Philippe Fournier-Viger is a professor of Computer Science and also the founder of the open-source data mining software SPMF, offering more than 150 data mining algorithms.

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