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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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Tag Archives: association rule
SPMF 2.65 is released!
Today, I want to announce that a new version of the SPMF data mining library and software has been released, which is version 2.65. This version bring several improvements, including 8 new algorithms, several optimizations, and new user interface tools … Continue reading
Posted in open-source, Pattern Mining
Tagged association rule, data mining, data science, itemset mining, java, library, pattern mining, software, spmf
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New version of SPMF: 2.63!
This is just a short blog post to let you know that SPMF 2.63 is released on the SPMF website, with some new features such as the Visual Pattern Viewer (to display patterns visually), and also some new algorithms and … Continue reading
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
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
Posted in Data Mining, Data science, open-source, spmf
Tagged association rule, data mining, itemset mining, java, new version, open source, pattern mining, spmf
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Sneak peak at the new user interface of SPMF (part 3)
Today, I would like to talk to you about another upcoming feature of the next version of SPMF (2.60), which will be released soon. It will be a Workflow Editor that will allow the user to select multiple algorithms from … Continue reading
Posted in Data Mining, open-source, spmf
Tagged algorithm, association rule, data, data mining, graph mining, gui, itemset, pattern, pattern mining, sequential pattern mining, spmf
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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
Test your knowledge of sequential rule mining!
Do you know about sequential rule mining? It is a popular task in pattern mining that aims at finding rules in sequences. In this blog post, I will give a list of 8 questions and answers to evaluate your knowledge … Continue reading
An Interactive Demo of The Apriori algorithm
I have created a new website for students that provides an interactive demo of the Apriori algorithm. It allows to run Apriori in your browser and see the results step by step. The website is here: Apriori Algorithm Demo To … Continue reading
Test your knowledge about sequential pattern mining!
Sequential pattern mining is a data mining technique used to discover frequent sequences or patterns in data. I have prepared a short test of 10 questions to evaluate your knowledge of sequential pattern mining. The test is not very hard. … Continue reading
Visualizing the item frequency distribution of pattern mining datasets
In this blog post, I will explain a quick and easy way of visualizing the frequency distribution of items in a dataset in SPMF format for pattern mining. To do this, we will use a new online tool that I … Continue reading
Posted in Pattern Mining, spmf
Tagged association rule, association rule mining, data, dataset, density, frequency, frequency distribution, itemset, pattern mining, spmf format, support
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