Tag Archives: pattern mining

(video) TKQ : Top-K Quantitative High Utility Itemset Mining

In this blog post, I will share a short video about a new algorithms for top-k quantitative high utility itemset mining, which will be presented at ADMA 2021. Here is the link to watch the paper presentation:https://www.philippe-fournier-viger.com/spmf/videos/poerm_video.mp4 And here is the … Continue reading

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How many association rules in a dataset?

This is a very short blog post about the calculation of the number of possible association rules in a dataset. I will assume that you know already what is association rule mining. Let’s say that you have a dataset that … Continue reading

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Brief report about UDML 2021 (4th International Workshop on Utility-Driven Mining and Learning

Today, it was the 4th International Workshop on Utility-Driven Mining and Learning (UDML 2021), held at the IEEE ICDM 2021 conference. I am a co-organizer of the workshop and will give a brief report about it. What is UDML? UDML … Continue reading

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What is a good pattern mining algorithm?

Today, I will continue talking about pattern mining, and in particular about what is a good pattern mining algorithm. There are a lot of algorithms for discovering patterns in data that are not useful in real-life. To design a good pattern … Continue reading

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Some common problems of pattern mining papers

Today, I will talk about pattern mining, a subfield of data mining, that aims at discovering interesting patterns in data. In particular, I will talk about why several papers from that field do not have much impact. This is generally … Continue reading

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Three videos about Recent Studies on Pattern Mining

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 … Continue reading

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Finding short high utility itemsets!

Today, I will talk about pattern mining. I will explain a topic that is in my opinion very important but has been largely overlooked by the research community working on high utility itemset mining. It is to integrate length constraints … Continue reading

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An Introduction to High Utility Quantitative Itemset Mining

Today, I will talk about pattern mining, a subfield of data science that aims at finding interesting patterns in data. More precisely, I will briefly describe a popular data mining task named high utility itemset mining. Then, I will describe … Continue reading

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High Utility Itemset Mining with a Taxonomy

Today, I will talk about discovering interesting patterns in data, what is called pattern mining, and in particular about how the concept of taxonomy can be useful to find interesting patterns. There has been a lot of research on pattern … Continue reading

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An Introduction to Episode Mining

In this blog post, I will talk about pattern mining (finding patterns in data) data mining task called episode mining. It aim at discovering interesting patterns in a long sequence of symbols or events. Sequence data is an important type … Continue reading

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