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Recent Posts
- 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 new version of SPMF (v2.64, november 2025)!
- GMP: A new algorithm for compressing protein sequences
- A new tool for visualizing algorithms from SPMF
- Fixing the reviewresponse.cls LaTeX Class to Allow Multi-Page Comments
- How to fix reviewresponse.cls for custom reviewer numbering
- The Conference Hotel Booking Scam
- Huge traffic from a botnet looking for datasets
Recent Comments
- Philippe Fournier-Viger on What is a Closed Itemset and Why is it Useful?
- Philippe Fournier-Viger on An Improved Pattern Viewer
- Bairavi Balaguru on What is a Closed Itemset and Why is it Useful?
- Kushal P. Birla on An Improved Pattern Viewer
- Kushal P. Birla on An Improved Pattern Viewer


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Tag Archives: pattern mining
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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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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(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
(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
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
Test your knowledge about periodic pattern mining
Periodic pattern mining is a data mining technique used to discover periodic patterns in a sequence of events. Algorithms for periodic pattern mining have many applications. I have prepared 10 questions to evaluate your knowledge of periodic pattern mining. You … 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
Test your knowledge about pattern mining!
Today, I publish a small quiz to test your knowledge about pattern mining. There are 10 questions, which are then followed by the answers. Those questions are not very hard 😉 How many can you get right? Questions Answers Tell … 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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