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Author Archives: Philippe Fournier-Viger
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
My webpage from 2006 to now…
Today, I will talk about the design of my personal research webpage, which has evolved over the years from 2006 (the first year of my PhD) til today (2021). It is around 2006 that I decided to buy a .com … Continue reading
Posted in Website
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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 ===== === Requirements … Continue reading
Posted in Academia, Data Mining, Data science, Machine Learning, Research
Tagged china, data mining, graph, position, postdoc position, postdoctoral position, Research, shenzhen
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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
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
Common Mistakes to Avoid when Submitting a Research Paper
In this short blog post, I will talk about some common mistakes that are done by researchers when submitting a paper to a journal or conference. And there are certainly many other mistakes. Those are the ones that comes to … 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, HUE-span, 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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What is Machine Learning?
In recent years, machine learning has become a popular research area of computer science. In this blog post, I will talk about what is machine learning. What is machine learning? Machine learning is computer programs (algorithms) that can learn to … Continue reading
Posted in artificial intelligence, Machine Learning
Tagged artificial intelligence, data mining, machine learning, ml
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