Category Archives: Pattern Mining

Vertical and horizontal databases in itemset mining

Itemset mining is a data mining task for discovering patterns that appear frequently in transaction databases. In this context, a pattern, also called a frequent itemset, is a set of values that frequently occur together in transactions (records) of a … Continue reading

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Two new shopping datasets with taxonomy

This is just to let you know that I have added two new transaction datasets to the SPMF datasets webpage: Those are two customer transaction datasets obtained by transforming the data from the instacart competition that was held on Kaggle in 2017. … 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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Report on the UDML 2024 workshop @ PAKDD 2024

Today, was the 6th International Workshop on Utility-Driven Mining and Learning (UDML 2024), held at the PAKDD 2024 conference. The workshop was a success. There was many people in attendance (around 20), which is good considering that PAKDD is not … Continue reading

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SPMF: bug fix about screen resolution

Hi all, this is just to let you know that I found that there was a problem with the user interface of SPMF on low resolution screens in the update 2.60. The table for setting the parameters of algorithms was … 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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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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SPMF 2.60 is coming soon!

Today, I want to talk a little bit about the next version of SPMF that is coming very soon. Here is some highlights of the upcoming features: 1) A Memory Viewer to help monitor the performance of algorithms in real-time: … 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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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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