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Recent Posts
- 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 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
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- 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
New version of SPMF (2.44): 4 new algorithms, datasets and features
Today, I am happy to announce that a new version of the SPMF open-source data mining software is released (v. 2.44). This is the download page. This new version was made possible due to several contributors. What is new? New … Continue reading
Posted in Data Mining, Data science, open-source, Pattern Mining, spmf, Utility Mining
Tagged algorithm, data mining, data science, dataset, open source, open-source, pattern mining, spmf
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An introduction to frequent subgraph mining
In this blog post, I will give an introduction to an interesting data mining task called frequent subgraph mining, which consists of discovering interesting patterns in graphs (a pattern mining task). This task is important since data is naturally represented as graph in many domains (e.g. … Continue reading
Posted in Big data, Data Mining, Pattern Mining
Tagged data mining, graph, gspan, pattern mining, subgraph, subgraph mining, tkg
12 Comments
Sequential pattern mining vs Sequence prediction ?
In this blog post, I will answer a question that I have received in my e-mail about what is the difference between sequential pattern mining and sequence prediction. I think that this is a good question and sharing the answer … Continue reading
Posted in Big data, Data Mining
Tagged data science, pattern mining, sequence, sequence prediction, sequential pattern
2 Comments
Discovering Alarm Correlation Rules for Network Fault Management (video)
In this blog post, I will share the video of our new paper about analyzing alarms in telecomunication networks presented at the AIOPS 2020 workshop. This work is part of an industrial collaboration project. The motivation for this project is … Continue reading
Posted in Data Mining, Data science, Video
Tagged alarm, network, pattern mining, rules, telecommunication network
5 Comments
Five recent books on pattern mining
In this blog post, I will list a few interesting and recent books on the topic of pattern mining (discovering interesting patterns in data). This mainly lists books from the last 5 years. High utility pattern mining: Theory, Applications and algorithms (2019). This … Continue reading
Posted in Big data, Data Mining, Pattern Mining, Utility Mining
Tagged big data, book, data, data mining, data science, pattern mining
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“Pattern Mining :Theory and Practice” (textbook in Thai, with SPMF)
Hi all, this is to announce that a new textbook in Thai has been published about pattern mining, which includes many examples using the SPMF software. The textbook named “Pattern Mining: Theory and Practice” is written by teacher Panida Songram from Mahasarakham University (Thailand) and can be used for … Continue reading
Posted in Data Mining, Data science, Pattern Mining, spmf
Tagged pattern mining, textbook, thai
2 Comments
(video) Mining Locally Trending High Utility Itemsets
Today, I want to share with you the video presentation that I have prepared for my paper at PAKDD 2020. It presents a new problem where we want to discover locally trending high utility itemsets (LTHUIs). A LTHUI is a set of items purchased by … Continue reading
UDML 2020 – Utility Driven Mining and Learning Workshop
Hi all, This is to let you know the good news that the UDML workshop on Utility Driven Mining and Learning will be back this year, at IEEE ICDM 2020, for the third edition (UDML 2020). This is a good venue to submit your papers about data mining and machine … Continue reading
Posted in Big data, Data Mining, Pattern Mining, Utility Mining
Tagged high-utility mining, icdm, pattern mining, udml, utility mining, workshop
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(video) Mining Cost-Effective Patterns
In this blog post, I will share another talk that I have recorded recently. This time, I will explain a new paper from my team about discovering cost-effective patterns using some algorithms called CEPB and CEPN. Mining cost-effective patterns is a new topic in pattern mining … Continue reading
Posted in Big data, Data Mining, Pattern Mining, Utility Mining, Video
Tagged cost, pattern mining, sequence, utility mining, video
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(video) Discovering interpretable high utility patterns in databases
Today, I will share a short keynote talk (28 min) about discovering interpretable high utility patterns in data that I have presented at the CCNS 2020 conference. This talk gives an overview of techniques for finding interesting and useful patterns that can … Continue reading