This is a video presentation of the paper “Mining Minimal High Utility Itemsets” about high utility itemset mining using MinFHM. It is the first video of a series of videos that will explain various data mining algorithms.
More information about the MinFHM algorithm are provided in this research paper:
Fournier-Viger, P., Lin, C.W., Wu, C.-W., Tseng, V. S., Faghihi, U. (2016). Mining Minimal High-Utility Itemsets. Proc. 27th International Conference on Database and Expert Systems Applications (DEXA 2016). Springer, LNCS, 13 pages, to appear
The source code and datasets of the MinFHM algorithm can be downloaded here:
The source code of MinFHM and datasets are available in the SPMF software.
I will post videos like that perhaps once every few weeks. I actually have a lot of PPTs to explain various algorithms on my computer but I just need to find time to record the videos. In a future blog post, I will also explain which software and equipment can be used to record such videos. This is the first video, so obviously it is not perfect. I will make some improvements in the following videos. If you have any comments, please post it in the comment section!
Philippe Fournier-Viger is a professor, data mining researcher and the founder of the SPMF data mining software, which includes more than 100 algorithms for pattern mining.