Category Archives: Data Mining

(video) Mining Frequent Itemsets with the Apriori algorithm

This is a video presentation of the Apriori algorithm for discovering frequent itemsets in data. Frequent itemset mining is one of the most popular data mining task. VIDEO LINK: http://www.philippe-fournier-viger.com/spmf/videos/apriori.mp4 The Java source code of the Apriori algorithm and datasets for evaluating its performance are available in the SPMF software. If you want … Continue reading

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The PAKDD 2019 conference (a brief report)

This year, I am attending the PAKDD 2019 conference (23rd Pacific Asia Conference on Knowledge Discovery and Data Mining), in Macau, China, from the 14th to the 17th April 2019. In this blog post, I will provide information about the conference. About the PAKDD conference PAKDD is one of the most important … Continue reading

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Interview with Prof. Rage Uday Kiran about Data Mining

Today, I have the pleasure to interview Rage Uday Kiran researcher at the National Institute of Informatics in Tokyo, Japan.  R. Uday Kiran is an Indian researcher who has been working in Japan for several years. He has been active mainly in the field of data mining, and … Continue reading

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The best data mining mailing lists (for researchers)

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)

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

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: http://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

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

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: http://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

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

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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