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Recent Posts
- CFP: Special session at SOMET 2026
- SPMF 2.65 is released!
- The Item-Itemset Matrix Viewer: a new feature in SPMF 2.65 (to be released)
- Merry X-Mas and Happy New year to SPMF users!
- The 1st HP4MoDa workshop was held at BIBM 2025
- Another release of SPMF: v2.64b
- A prototype of an improved GUI for the SPMF pattern mining software
- Upcoming in SPMF 2.64b : The “Pattern Diff Analyzer”
- A keynote speaker unable to manage time (180 slides!)
- A new version of SPMF (v2.64, november 2025)!
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Author Archives: Philippe Fournier-Viger
Why it takes so long for a journal paper to be reviewed?
Today, I will talk about the review process of journal papers and why it sometimes take so much time for a paper to be reviewed. It is a question that is often asked by young researchers, who are sometimes impatiently … Continue reading
(video) Top-K Cross-Level High Utility Itemset Mining
Today, I will share a video of our upcoming paper presentation about top-k cross-level high utility itemset mining that we will present at the UDML 2020 workshop at ICDM 2020. In this paper, we present a novel algorithm named TKC … Continue reading
Posted in Pattern Mining, Utility Mining, Video
1 Comment
More problems on IONOS web hosting… 4 days of downtime!
A month ago, I had some big problems with my website hosted by 1and1 ionos. The database was seemingly reverted to three years back and I lost all the posts from the last three years! This week, I got more … Continue reading
Posted in Uncategorized, Website
Tagged 1and1, database, ionos, web, web hosting, website
2 Comments
A brief report about the IEA AIE 2020 conference
In this blog post, I will write a brief report about the 33rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA AIE 2020), held in Kitakyushu, Japan from the 22nd to 25th September 2020. What … Continue reading
Posted in artificial intelligence, Conference, Data Mining
Tagged 2020, ai, artificial intelligence, conference, data mining, ieaaie, japan, springer
4 Comments
The Imposter Syndrome in Academia
In this blog post, I will talk about something that many students or researchers have or are experiencing in academia, which is called the imposter syndrome. It is the feeling of not being worthy of having achieved some success or … Continue reading
Big problem on my website on IONOS webhosting!
Hi all, A bad news is that the database of this blog was reverted to 3 years ago due to some technical problem. I have used 1and1 IONOS as hosting service for my websites for the last 10 years, but … Continue reading
Posted in Uncategorized
10 Comments
An Introduction to Data Mining
In this blog post, I will introduce the topic of data mining. The goal is to give a general overview of what is data mining. What is data mining? Data mining is a field of research that has emerged in the 1990s, … Continue reading
Posted in Big data, Data Mining, Data science
Tagged artificial intelligence, big data, data mining, data science, machine learning
23 Comments
Unethical Reviewers in Academia!
In this blog post, I will talk about a common problem in academia, which is the unethical behavior of some reviewers that ask authors to cite several of their papers. It is quite common that some reviewer will ask authors to cite his papers to increase his citation count. I have encountered this problem many times … Continue reading
How to Improve Work Efficiency for Researchers?
In this blog post, I will talk about the topic of increasing work efficiency for researchers. This is an important topic as during a researcher’s career, the workload tend to increase over time but there is always only 24 hours every day. Thus, becoming … Continue reading
Five recent books on pattern mining
In this blog post, I will list a few interesting and recent books on the topic of pattern mining (discovering interesting patterns in data). This mainly lists books from the last 5 years. High utility pattern mining: Theory, Applications and algorithms (2019). This … Continue reading
Posted in Big data, Data Mining, Pattern Mining, Utility Mining
Tagged big data, book, data, data mining, data science, pattern mining
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