(video) Mining Sequential Rules with RuleGrowth

This is a video presentation of the paper “Mining Partially-Ordered Sequential Rules Common to Multiple Sequences” about discovering sequential rules in sequences using the RuleGrowth algorithm.

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

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

Fournier-Viger, P., Wu, C.-W., Tseng, V.S., Cao, L., Nkambou, R. (2015). Mining Partially-Ordered Sequential Rules Common to Multiple Sequences. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(8): 2203-2216. 

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

I will post videos about other algorithms in the near future, so stay tuned!

==
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.

This entry was posted in Big data, Data Mining, Pattern Mining and tagged , , , , . Bookmark the permalink.

Leave a Reply

Your email address will not be published. Required fields are marked *