(video) Mining Locally Trending High Utility Itemsets

Today, I want to share with you the video presentation that I have prepared for my paper at PAKDD 2020. It presents a new problem where we want to discover locally trending high utility itemsets (LTHUIs). A LTHUI is a set of items purchased by customers that are trending (generate money that follows an upward or downward trend during some non predefined time periods. It is a variation of the popular high utility itemset mining problem.

VIDEO LINK: http://philippe-fournier-viger.com/spmf/videos/pakdd720p.mp4

Hope you will enjoy this video! If you want more details about this topic, you can read this paper:

Fournier-Viger, P., Yang, Y., Lin, J. C.W., Frnda, J. (2020). Mining Locally Trending High Utility Itemsets. Proc. 24th Pacific-Asia Conf. Knowledge Discovery and Data Mining (PAKDD 2020), Springer, LNAI, 12 pages.

The source code will be released soon in the SPMF data mining software.

Philippe Fournier-Viger is a professor, data mining researcher and the founder of the SPMF data mining software, which includes more than 150 algorithms for pattern mining.

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