Category Archives: Data science

SPMF 2.62 is released!

This is a short blog post to announce that SPMF 2.62 is released, and can be downloaded from the SPMF website‘s download page. The previous version of SPMF (2.60) introduced a lot of new features, also with some code refactoring, … Continue reading

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The story of the most influential paper award of PAKDD 2024

Recently, I have attended the PAKDD 2024 conference, where I was happy to receive the most influential paper award with my co-authors. This award is a test of time type of award that is given to the paper from PAKDD … Continue reading

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SPMF 2.60 is released!

This is a short message today to announce that the new version of SPMF 2.60 is finally released! This is a major version as it contains many new things. The full lists of changes can be found on the download … Continue reading

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Some interesting statistics about SPMF

While I am preparing the next version of Java SPMF data mining software (2.60), here are some interesting statistics about the project, that I have generated directly from the metadata provided by SPMF. Here it is: The number of algorithms … Continue reading

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Sneak peak at the new user interface of SPMF (part 1)

I am currently working on the next version of SPMF, which will be called 2.60. There will be several improvements to the user interface of SPMF. Here is an overview of some of the improvements to give you a sneak … Continue reading

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UDML 2024 Accepted papers

Today, I want to talk to you about the upcoming UDML 2024 workshop at the PAKDD 2024 conference. This year is the 6th edition of the UDML workshop. I am happy to say that this year, we received a record … Continue reading

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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

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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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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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An Online Demo of the Eclat Algorithm

I have created a new interactive webpage to demonstrate how the Eclat algorithm is applied for frequent itemset mining. This webpage allows to enter a transaction database, select the minimum support and to see step by step what the Eclat … Continue reading

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