In this blog post, I will share three videos about pattern mining describing three research papers from from my team. These videos are not very long, as they are designed to just give a brief overview about the papers. Hope it will be interesting.
Chen, Y., Fournier-Viger, P., Nouioua, F., Wu, Y. (2021). Mining Partially-Ordered Episode Rules with the Head Support. Proc. 23rd Intern. Conf. on Data Warehousing and Knowledge Discovery (DAWAK 2021), Springer, LNCS, 7 pages [ppt] [***Watch the video***] |
Nouioua, M., Fournier-Viger, P., Qu, J.-F., Lin, J.-C., Gan, W., Song, W. (2021). CHUQI-Miner: Correlated High Utility Quantitative Itemset Mining. Proc. 4th International Workshop on Utility-Driven Mining (UDML 2021), in conjunction with the ICDM 2021 conference, IEEE ICDM workshop proceedings, to appear. [ppt] [**** Watch the video ****] |
Chen, Y., Fournier-Viger, P., Nouioua, F., Wu, Y.. (2021). Sequence Prediction using Partially-Ordered Episode Rules. Proc. 4th International Workshop on Utility-Driven Mining (UDML 2021), in conjunction with the ICDM 2021 conference, IEEE ICDM workshop proceedings, to appear. [ppt] [**** Watch the video ****] |
That is all for today! I just wanted to share these videos 🙂
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Philippe Fournier-Viger is a full professor working in China and founder of the SPMF open source data mining software.
