Category Archives: Data Mining

The best data mining mailing lists (for researchers)

Posted on 2019-03-17 by Philippe Fournier-Viger

Today, I will list a few useful mailing lists related to data mining and big data. Subscribing to these mailing list is useful for PhD students and researchers, as many jobs, conferences, special issues and other opportunities are advertised on these mailing lists. It is … Continue reading →

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Analyzing the source code of SPMF (5 years later)

Posted on 2019-01-12 by Philippe Fournier-Viger

Five years ago, I had analyzed the source code of the SPMF data mining software using an open-source tool called CodeAnalyzer ( http://sourceforge.net/projects/codeanalyze-gpl/ ). This had provided some interesting insights about the structure of the project, especially in terms of lines of codes and code to … Continue reading →

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(video) Mining Sequential Rules with RuleGrowth

Posted on 2018-12-26 by Philippe Fournier-Viger

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 →

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Report about the 2018 International Workshop on Mining of Massive Data and IoT

Posted on 2018-12-22 by Philippe Fournier-Viger

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 →

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(video) Minimal Correlated High Utility Itemsets with FCHM

Posted on 2018-12-20 by Philippe Fournier-Viger

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 →

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Report about the ICGEC 2018 conference

Posted on 2018-12-14 by Philippe Fournier-Viger

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 →

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Introduction to frequent subranking mining

Posted on 2018-12-13 by Philippe Fournier-Viger

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 →

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(video) Minimal Periodic Frequent Itemset with PFPM

Posted on 2018-11-08 by Philippe Fournier-Viger

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 →

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Expensive Academic Conferences – the case of ICDM

Posted on 2018-11-08 by Philippe Fournier-Viger

I was recently thinking of attending IEEE ICDM 2018 (International Conference on Data Mining) in Singapore, next month. It is a top 5 data mining conference. According to my schedule, I could attend it for 2 days, and since Singapore is close to China, it … Continue reading →

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(video) Minimal High Utility Itemset Mining with MinFHM

Posted on 2018-10-22 by Philippe Fournier-Viger

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 →

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