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Recent Posts
 Brief report about EITCE 2021
 CFP: The 1st Workshop on Pattern Mining and Machine Learning in Big Complex Database
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 Towards SPMF v3.0…
 Brief report about the DEXA 2021 and DAWAK 2021 conferences
 Finding short high utility itemsets!
 My webpage from 2006 to now…
 Two postdoctoral researcher positions in my team (topic: data mining / machine learning)
 Brief report about the ECML PKDD 2021 conference
 An Introduction to High Utility Quantitative Itemset Mining
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 Philippe FournierViger on A Brief Report about ACIIDS 2021 (13th Asian Conference on Intelligent Information and Database Systems)
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 Finding short high utility itemsets!  The Data Mining Blog on An Overview of Pattern Mining Techniques
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Tag Archives: pattern mining
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
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
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
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
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged big data, data mining, data science, Emma, episode, episode mining, HUEspan, Minepi, pattern mining, sequential pattern, tke, utility mining
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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
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged big data, data mining, data science, episode, literature, Minepi, papers, pattern mining, patterns, references, winepi
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SPMF 2.48 + The Pattern Mining Wiki
Hi all, I have not been very active on the blog during the last month. This is because I had many thinsg going on in my personal and professional life that I will not reveal here. But I will be … Continue reading
Posted in Machine Learning, Pattern Mining, Website
Tagged mlise, pattern mining, pattern mining wiki, spmf, wiki
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Key Papers about High Utility Itemset Mining
In this blog post, I will talk about the most important algorithms for high utility itemset mining. I will present a list of algorithms that is of course subjective (according to my opinion). I did not list all the papers of … Continue reading
Mining Episode Rules (video)
In this blog post, I will share the video of our most recent data mining paper presented last week at ACIIDS 2021. It is about a new algorithm named POERM for about analyzing sequences of events or symbols. The algorithm will find rules … Continue reading
Posted in Big data, Data Mining, Machine Learning, Video
Tagged aciids 2021, data mining, episode, episode rule, machine learning, pattern mining, video
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An Overview of Pattern Mining Techniques
In this blog post, I will give an overview of some of the main pattern mining tasks, to explain what kind of patterns can be found in different types of symbolic data. I will describe some main types of data … Continue reading
Analyzing the COVID19 genome with AI and data mining techniques (paper + data + code)
Recently, my team has been working on analyzing COVID19 genome sequences using pattern mining and other data mining and AI techniques. We have recently published a paper in the Applied Intelligence journal about this. In this blog post, I will … Continue reading