(video) TKQ : Top-K Quantitative High Utility Itemset Mining

In this blog post, I will share a short video about a new algorithms for top-k quantitative high utility itemset mining, which will be presented at ADMA 2021.

Here is the link to watch the paper presentation:
https://www.philippe-fournier-viger.com/spmf/videos/poerm_video.mp4

And here is the reference to the paper:

Nouioua, M., Fournier-Viger, P., Gan, W., Wu, Y., Lin, J. C.-W., Nouioua, F. (2021). TKQ: Top-K Quantitative High Utility Itemset Mining. Proc. 16th Intern. Conference on Advanced Data Mining and Applications (ADMA 2021) Springer LNAI, 12 pages [ppt]

The source code and datasets will be made available in the next release of the SPMF data mining library.

If you are interested by this topic, you can also read my blog post that explain the key ideas about high utility quantitative itemset mining.

That is all I wanted to write for today!

Philippe Fournier-Viger is a full professor working in China and founder of the SPMF open source data mining software.

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