Tag Archives: data mining

(video) Mining Frequent Itemsets with the Apriori algorithm

Posted on 2019-04-20 by Philippe Fournier-Viger

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: https://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)

Posted on 2019-04-12 by Philippe Fournier-Viger

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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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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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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Report about the 13th ADMA conference (ADMA 2018)

Posted on 2018-11-16 by Philippe Fournier-Viger

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 →

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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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