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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 post-doctoral 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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Tag Archives: data mining
Brief report about EITCE 2021
Today, I attended the EITCE 2021 conference, which was held in Xiamen, China from the 22nd to 24th October 2021. The conference was held virtually and I participated as an invited keynote speaker. In this blog post, I will talk … Continue reading
Posted in artificial intelligence, Big data, Conference, Data Mining
Tagged ai, conference, data mining, eitce, eitce2021, ml
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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
Posted in Big data, cfp, Conference, Data Mining, Data science, Pattern Mining
Tagged big data, cfp, conference, dasfaa, data mining, data science, machine learning, pmdb, pmdb2022, workshop
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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
Posted in Data Mining, Data science, open-source
Tagged data mining, data science, library, open source, software, spmf
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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
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
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
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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