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**.

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 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.

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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.