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Recent Posts
- 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)!
- 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
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Category Archives: Data science
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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(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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Skills needed for a data scientists? (comments on the HBR article)
Recently, I have read an article of the Harvard Business Review (HBR) website about data sciences skills for businesses. This article proposes to categorize skills related to data on a 2×2 matrix where skills are labelled as useful VS not useful, and … Continue reading
Posted in Big data, Data science
Tagged big data, data, data mining, data science, skills
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(video) Minimal High Utility Itemset Mining with MinFHM
This is a video presentation of the paper “Mining Minimal High Utility Itemsets” about high utility itemset mining using MinFHM. It is the first video of a series of videos that will explain various data mining algorithms. VIDEO LINK : https://www.philippe-fournier-viger.com/spmf/videos/minfhm.mp4 More information … Continue reading
Periodic patterns in Web log time series
Recently, I have analysed trends about visitors on this blog. I have made two observations. First, there is about 500 to 1000 visitors per day. For this, I want to thank you all for reading and commenting on the blog. Second, if we … Continue reading
Posted in Big data, Data Mining, Data science, Time series
Tagged data, periodic pattern, periodicity, time series, web, web log
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Report about the KDD 2018 conference
This week, I am participating to the KDD 2018 ( 24th ACM SIGKDD Intern. Conference on Knowledge Discovery and Data Mining), in London, UK from the 19th to 23rd August 2018. The KDD conference is an international conference, established 24 years ago. It is the top conference in the field of data mining / … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged big data, conference, data mining, data science, kdd
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An interview with P. Fournier-Viger about AI and data mining
I recently was interviewed by Djavan de Clercq, a graduate student from Tsinghua University, working on Machine Learning and Optimization. The interview can be read here (on LinkedIn). I answer ten questions related to data mining and AI research. —-Philippe Fournier-Viger is a professor of Computer Science and also the founder of the open-source data mining software SPMF, offering … Continue reading
Posted in Big data, Data Mining, Data science
Tagged artificial intelligence, big data, data mining, interview
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A Model for Football Pass Prediction (source code + dataset)
In this blog post, I will discuss the data challenge of the Machine Learning for Sport Analytics workshop (MLSA 2018) at PKDD 2018. The challenge consisted of predicting the receivers of football passes (pass prediction). I will first briefly describe the data and then … Continue reading
Posted in Data Mining, Data science, Video
Tagged data, data mining, football, mlsa, prediction
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PAKDD 2018 Conference (a brief report)
In this blog post, I will discuss the PAKDD 2018 conference (Pacific Asia Conference on Knowledge Discovery and Data Mining), in Melbourne Australia, from the 3rd June to the 6th June 2018. About the PAKDD conference PAKDD is an important conference in the data science / data mining research community, mainly attended by researchers from … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged asia, australia, big data, conference, data mining, pakdd
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