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Recent Posts
- A First Release of SPMF-Server and SPMF-Server Clients
- 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!)
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Author Archives: Philippe Fournier-Viger
Call for papers: UDML 2024 workshop @ PAKDD 2024
I am glad to announce that the 6th UDML 2024 workshop on Utility-Driven Mining and Learning will be held next year at the PAKDD 2024 conference. IMPORTANT DATES PUBLICATIONS All the accepted papers will be invited for publication in a … Continue reading
Posted in Uncategorized
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A new survey paper on episode mining!
I am pleased to announce today that my collaborators and I have published a new survey paper about episode mining to give an introduction to this nice and interesting subfield of pattern mining. To our knowledge this is the most … Continue reading
Posted in Data Mining, Data science, Pattern Mining
Tagged data mining, data science, episode, episode mining, event sequence, pattern mining, sequence, survey
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How to write answers to reviewers for a journal using LaTeX?
Today, I will explain how to write the answer to reviewers for an academic journal using Latex. The advantage of using Latex instead of a software like Microsoft Word to write answers to reviewers is that it allows using all … Continue reading
Posted in Latex
Tagged academia, answer to reviewers, latex, paper revision, reviewer, reviewers
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TexWorks: How to add a command to change the text color (using a script)
In this blog post, I will show how to add a script (commands) to TexWorks for adding a color to your Latex document. This is easy and can be used also for other types of commands. 1) In TexWorks, go … Continue reading
KNN Interactive demo in your browser
Today, I want to show you a new interactive demo of the KNN (K-Nearest Neighbors) algorithm that I have added to my website. It is designed to be used for teaching purpose to illustrate how the K-Nearest Neighbors algorithm works. … Continue reading
Posted in Uncategorized
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K-Means Interactive Demo in your browser
In this blog post, I introduce a new interactive tool for showing a demonstration of the K-Means algorithm for students (for teaching purposes). The K-Means clustering demo tool can be accessed here: philippe-fournier-viger.com/tools/kmeans_demo.php The K-Means demo, first let you enter … Continue reading
Posted in Data Mining, Data science
Tagged browser, clustering, interactive demo, javascript k-means, k-means, k-means tool
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Busy times
Hi all, I just write a quick message to say that I did not write on the blog recently due to my very busy schedule recently. However, everything is going well. I will be back on the blog with more … Continue reading
Posted in Uncategorized
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The MDLM 2023 conference: a scam?
Today, I will talk about the MDLM 2023 conference (International Conference on Machine Learning and Data Mining). Several years ago, I have attended MLDM 2016 (report here) because at that time it was published by Springer. But I was unhappy … Continue reading
Fake reviews…
Today, I would like to talk about something that happens sometimes in academic journals, which is fake reviews. While many reviewers spend time to write reviews that provide a fair evaluation of papers, some reviewers have a very unethical behavior … Continue reading
Posted in Academia, Research
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SPMF: upcoming feature: The Memory Viewer
Today, I would like to introduce an upcoming feature that will be released in the next version of SPMF (v. 2.60). It is a tool called the Memory Viewer. This tool is very simple yet useful for investigating the performance … Continue reading
Posted in Data Mining, Data science, open-source, Pattern Mining, spmf
Tagged data mining, data science, java, memory, open source, pattern, pattern mining, spmf
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