Author Archives: Philippe Fournier-Viger

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

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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

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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

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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

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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

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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

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(video) The EFIM algorithm

Here is a new video that I have recorded to explain the EFIM algorithm for high utility itemset mining. You can watch the video here. Related to this, if you want to try the EFIM algorithm, the original source code … Continue reading

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(video) Introduction to episode mining

If you want to learn more about frequent episode mining, I have put online a new video that gives an introduction to this topic. To watch the video, you can download it from my website here or watch it from … Continue reading

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As a speaker, we should always be ready for the unexpected…

I often say that as an invited speaker for a conference or as a teacher for a course, we need to be ready for the unexpected and be prepared for every situation that could happen. This means for example, to … Continue reading

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Two common English errors in pattern mining papers

This is a short blog post to talk about two common errors in pattern mining research papers. 1) The first error is: “mining frequent itemsets from a database” “mining patterns from a stream”“mining patterns over a database”“mining patterns over a … Continue reading

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