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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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Category Archives: Pattern Mining
A Glossary of High Utility Pattern Mining
Today, I present a glossary of key terms usedin high utility itemset mining. This glossary will be useful to researchers and practitioners working on this important subtopic of pattern mining. By the way, if you are new to this research … Continue reading
What are Generator Itemsets?
Today, I will briefly explain what is a generator itemset. I will give some example and explain why generator itemsets are interesting and useful for some applications. I will also mention that efficient implementations can be found in the SPMF … Continue reading
Posted in Data Mining, Pattern Mining
Tagged association rule, data mining, generator, generator itemset, itemset, itemset mining, key itemset, pattern mining, spmf
1 Comment
How to find cost-effective patterns in data?
Have you ever wondered how to find patterns in data that are not only frequent but also profitable and cost-effective? For example, if you are an online retailer, you may want to know what products are often bought together by … Continue reading
What is a Closed Itemset and Why is it Useful?
In this blog post, I will explain in simple terms what is a closed itemset and give some examples. I will also mention a few algorithms that can be used to find closed itemsets and that they can be found … Continue reading
Posted in Data Mining, Data science, Pattern Mining
Tagged association rule, closed itemset, closed pattern, data mining, frequent itemset, itemset, itemset mining, java, open source, pattern mining, spmf
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Discovering the Top-K Stable Periodic Patterns in a Sequence of Events
In this blog post, I will give a brief introduction to the TSPIN paper about how to find stable periodic patterns in a sequence of events. This algorithm was presented in this research paper: Fournier-Viger, P., Wang Y., Yang, P., … Continue reading
Posted in Big data, Data Mining, Pattern Mining, spmf
Tagged data mining, event sequence, periodic pattern, software, spmf, stability, stable patterns, top-k patterns, tspin
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UDML 2023 workshop!
I’m excited to announce that I am co-organizing a new edition of the Utility-Driven Mining and Learning (UDML) workshop, which will be colocated with the IEEE International Conference on Data Mining (ICDM) 2023 in Shanghai, China. The UDML workshop aims … Continue reading
Posted in Big data, Conference, Data Mining, Data science, Pattern Mining
Tagged data mining, data science, machine learning, pattern mining, udml, utility, utility learning, utility mining
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SPMF’s architecture (4) The MemoryLogger
Today, I will continue the series of blog posts to explain the architecture of the SPMF data mining library, and I will talk in particular about a module in SPMF called the MemoryLogger. This module is responsible for recording the … Continue reading
Posted in Data Mining, Data science, open-source, Pattern Mining, spmf
Tagged data mining, data science, GPL, java, open source, pattern mining, software, spmf
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SPMF’s architecture (3) The Preference Manager
This is the third of a series of blog posts about the architecture of the SPMF data mining library. Today, I will explain the role of another an internal module in SPMF, called the Preference Manager. This module is used … Continue reading
Posted in Data Mining, Data science, Java, open-source, Pattern Mining, spmf
Tagged architecture, data mining, java, open source, pattern mining, software, spmf
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A Glossary of Pattern Mining
Pattern mining is a popular research area in data mining, which aims at discovering interesting and useful patterns in data. It is a field of research that has been active for over 25 years and there is a lot of … Continue reading
Posted in Data Mining, Data science, Pattern Mining
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