Today, I will share a short keynote talk (28 min) about discovering interpretable high utility patterns in data that I have presented at the CCNS 2020 conference. This talk gives an overview of techniques for finding interesting and useful patterns that can help to understand data.
VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/ccns_small.mp4
Hope you will enjoy this video! If you want to know more about how to find interesting and useful patterns in data, I have written a series of blog posts on this topic.
- An introduction to Frequent Pattern Mining
- An Introduction to Sequential Rule Mining
- An introduction to Periodic Pattern Mining
- An Introduction to Sequence Prediction
- An Introduction to High Utility Itemset Mining
- An Introduction to Frequent Subgraph Mining
I have also published various videos that you can find on this blog. Moreover, to apply this in your projects, you can use the SPMF open-source data mining sofware (which I am the founder). It provides more than 150 algorithms for identifying useful patterns in data.
==
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.
