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Recent Posts
- The Item-Itemset Matrix Viewer: a new feature in SPMF 2.65 (to be released)
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- 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)!
- GMP: A new algorithm for compressing protein sequences
- A new tool for visualizing algorithms from SPMF
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Author Archives: Philippe Fournier-Viger
(video) Mining Sequential Rules with RuleGrowth
This is a video presentation of the paper “Mining Partially-Ordered Sequential Rules Common to Multiple Sequences” about discovering sequential rules in sequences using the RuleGrowth algorithm. VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/rulegrowth.mp4 More information about the RuleGrowth algorithm are provided in this research paper: Fournier-Viger, P., Wu, C.-W., Tseng, V.S., Cao, L., Nkambou, R. (2015). Mining Partially-Ordered Sequential Rules Common to Multiple … Continue reading
Posted in Big data, Data Mining, Pattern Mining
Tagged data mining, data science, pattern mining, sequence, sequential rule
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Report about the 2018 International Workshop on Mining of Massive Data and IoT
This week, I have attended the 2018 International Workshop on Mining of Massive Data and IoT (2018 年大数据与物联网挖掘国际研讨会) organized by the Fujian Normal University in the city of Fuzhou, China from the 18th to 20thDecember 2018. I have attended the workshop to give a talk … Continue reading
Posted in Conference, Data Mining, Data science
Tagged data mining, fuzhou, massive data, workshop
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(video) Minimal Correlated High Utility Itemsets with FCHM
This is a video presentation of the paper “Mining Correlated High-Utility Itemsets Using the bond Measure” about correlated high utility pattern mining using FCHM. VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/FCHM_correlated_itemsets.mp4 More information about the FCHM algorithm are provided in this research paper: Fournier-Viger, P., Zhang, Y., Lin, J. C.-W., … Continue reading
Posted in Big data, Data Mining, Data science, Video
Tagged big data, data, data science, high utility itemset, high utility mining, pattern mining
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Report about the ICGEC 2018 conference
I have recently attended the ICGEC 2018 conference (12th International Conference on Genetic and Evolutionary Computing) from December 14-17, 2018 in Changzhou, China. In this blog post, I will describe activities that I have attended at the conference. About the ICGEC conference IGCEC is … Continue reading
Introduction to frequent subranking mining
Rankings are made in many fields, as we naturally tend to rank objects, persons or things, in different contexts. For example, in a singing or a sport competition, some judges will rank participants from worst to best and give prizes to … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged data, data mining, data science, pattern, sequential pattern
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Is the next artificial intelligence winter coming?
In recent years, there have been an increased interest in Artificial Intelligence (AI). This is due in part to some advances for training and building neural networks, which have allowed to solve some difficult problems with greater success. This has lead … Continue reading
Report about the 13th ADMA conference (ADMA 2018)
I have recently attended the 13th International Conference on Advanced Data Mining and Applications (ADMA 2018) in Nanjing, China from the 16th to 18th October 2018. In this blog post, I will give a brief report about this conference. What is the ADMA conference? ADMA is a … Continue reading
How to calculate Erdös numbers? and co-authorship relationships in academia
There exists many ways of analyzing the relationships between co-authors in Academia. In this blog post, I will talk about a fun measure called the “Erdös number“, which has been proposed in the field of mathematics in the 90s. The Erdos number of a person … Continue reading
How journal paper similarity checking works? (CrossCheck)
In this blog post, I will talk about the recent trends of journal editors rejecting papers because of their similarity with other papers as detected by the CrossCheck system. I will explain how this system works and talk about its impact, benefits … Continue reading
(video) Minimal Periodic Frequent Itemset with PFPM
This is a video presentation of the paper “PFPM: Discovering Periodic Frequent Patterns with Novel Periodicity Measures” about periodic pattern mining using PFPM. It is part of my new series of videos about data mining algorithms VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/pfpm.mp4 (link to download the … Continue reading
Posted in Big data, Data Mining, Data science
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