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Recent Posts
- How to fix reviewresponse.cls for custom reviewer numbering
- The Conference Hotel Booking Scam
- Huge traffic from a botnet looking for datasets
- New version of SPMF: 2.63!
- Upcoming feature of SPMF 2.63: Taxonomy Viewer
- CFP: The OCSA 2025 conference
- Update on SPMF next version: the visual pattern viewer
- CFP: HP4MoDa 2025 @ IEEE BIBM 2025
- An Improved Pattern Viewer
- Computer Science Journals and Conferences with the most withdrawals in 2024
Recent Comments
- Philippe Fournier-Viger on What is a Closed Itemset and Why is it Useful?
- Philippe Fournier-Viger on An Improved Pattern Viewer
- Bairavi Balaguru on What is a Closed Itemset and Why is it Useful?
- Kushal P. Birla on An Improved Pattern Viewer
- Kushal P. Birla on An Improved Pattern Viewer
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Author Archives: Philippe Fournier-Viger
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, spmf
Tagged data mining, data science, library, open source, software, spmf
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Brief report about the DEXA 2021 and DAWAK 2021 conferences
In this blog post, I will talk about the DEXA 2021 and DAWAK 2021 conferences that I have attended, September 27–30, 2021. Those two conferences are co-located and co-organized every year in different countries of Europe. This year, these conferences … Continue reading
Posted in Uncategorized
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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
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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