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
VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/pfpm.mp4
(link to download the video if the player does not work)
PFPM is an Eclat-inspired algorithm for mining periodic patterns. 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!
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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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