Author Archives: Philippe Fournier-Viger

A Glossary of High Utility Pattern Mining

Today, I present a glossary of key terms usedin high utility itemset mining. This glossary will be useful to researchers and practitioners working on this important subtopic of pattern mining. By the way, if you are new to this research … Continue reading

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My paper is rejected. Can I appeal the editor’s decision?

Today, I will talk about what to do when a paper is rejected from a journal, and more specifically if it is possible to appeal the editor’s decision, and then what are the chance of success? Generally, if a researcher … Continue reading

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What are Generator Itemsets?

Today, I will briefly explain what is a generator itemset. I will give some example and explain why generator itemsets are interesting and useful for some applications. I will also mention that efficient implementations can be found in the SPMF … Continue reading

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How to find cost-effective patterns in data?

Have you ever wondered how to find patterns in data that are not only frequent but also profitable and cost-effective? For example, if you are an online retailer, you may want to know what products are often bought together by … Continue reading

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What is a Closed Itemset and Why is it Useful?

In this blog post, I will explain in simple terms what is a closed itemset and give some examples. I will also mention a few algorithms that can be used to find closed itemsets and that they can be found … Continue reading

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Introducing PSAC-PDB: A Novel Approach to Protein Structure Analysis and Classification

In this blog post, I will give a short overview of our recent research paper about protein structure analysis and classification by my team (M. S. Nawaz, P. Fournier-Viger, Y. He and Q. Zhang). Proteins are essential molecules for life, … Continue reading

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DSSBA 2023, 2nd Special Session on Data Science for Social and Behavioral Analytics @DSAA

I am excited to announce that the 2nd Special Session on Data Science for Social and Behavioral Analytics (DSSBA 2023) will be held at the 10th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2023) from October … Continue reading

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Discovering the Top-K Stable Periodic Patterns in a Sequence of Events

In this blog post, I will give a brief introduction to the TSPIN paper about how to find stable periodic patterns in a sequence of events. This algorithm was presented in this research paper: Fournier-Viger, P., Wang Y., Yang, P., … Continue reading

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Data disasters and more…

Today, I will not talk about a serious topic. Recently, I have been experimenting a little bit with generative AI tools for pictures during my free time. Some services can generate some pretty nice pictures based on text prompts. For … Continue reading

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UDML 2023 workshop!

I’m excited to announce that I am co-organizing a new edition of the Utility-Driven Mining and Learning (UDML) workshop, which will be colocated with the IEEE International Conference on Data Mining (ICDM) 2023 in Shanghai, China. The UDML workshop aims … Continue reading

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