Category Archives: Data science

CFP: The 1st Workshop on Pattern Mining and Machine Learning in Big Complex Database

This is to let you know about the upcoming 1st Workshop on Pattern mining and Machine learning in Big complex Databases¬†(PMDB 2022) workshop that I co-organize at the DASFAA 2022 conference! PMDB 2022 aims at providing a place for researchers … Continue reading

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Towards SPMF v3.0…

Today, I will talk a little bit about the recent improvements and future direction for the SPMF data mining library. How SPMF started? SPMF is a software project that I started around 2008 when I was a Ph.D student in … 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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Two post-doctoral researcher positions in my team (topic: data mining / machine learning)

There are two post-doc positions that are now OPEN in my research team in Shenzhen, China. === Topic === data mining or ML algorithms for processing graphs, sequences, streams or other complex data, pattern mining === Benefits ===== Very good … Continue reading

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Brief report about the ECML PKDD 2021 conference

In this blog post, I will talk briefly about the ECML PKDD 2021 conference that I have attended virtually this week, from the 13th to the 17th of September 2021.. What is ECML PKDD? ECML PKDD is an european conference … 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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Key Papers about Episode Mining

This post presents the key papers about episode mining. If you are not familiar with what is episode mining, it is a data mining task, which aims at finding patterns in a sequence of events or symbols . A short … Continue reading

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Brief report about ICSI 2021 (12th Int. Conference on Swarm Intelligence)

In this blog post, I will talk about attending the 12th International Conference on Swarm Intelligence (ICSI 2021). The ICSI conference is a relatively young conference about swarm intelligence, metaheuristics and related topics and applications. This year, ICSI 2021 is held in … Continue reading

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