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Recent Posts
 A brief report about the IEA AIE 2020 conference
 The Upcoming 3rd Utility Mining and Learning Workshop (UDML 2020!) at IEEE ICDM 2020
 The Imposter Syndrome in Academia
 Big problem!
 Unethical Reviewers in Academia!
 How to Improve Work Efficiency for Researchers?
 Call for chapters on periodic pattern mining
 Call for chapters on Tracking and Preventing Diseases with AI
 How to convert Latex to HTML?
 Academic misconduct by Sandeep Kautish from LBEF / APU
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 Philippe FournierViger on An Introduction to Sequential Rule Mining
 Philippe FournierViger on An Introduction to Sequential Rule Mining
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Tag Archives: data mining
A brief report about the IEA AIE 2019 conference
I have just arrived Austria to attend the IEA AIE 2019 conference ( 32nd Intern. Conf. on Industrial, Engineering and Other Applications of Applied Intelligent Systems), which is held in Graz from the 9th to 11th July. In this blog post, I will give a report about … Continue reading
Posted in artificial intelligence, Conference
Tagged artificial intelligence, conference, data mining, europe, ieaaie
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Correlation does not imply causation
There is a well known principle in statistics that correlation does not imply causation. It means that even if we observe that two variables behave in the same way, we should not conclude that the behavior of one of those variables … Continue reading
Posted in Big data, Data Mining, Data science
Tagged causation, correlation, data, data analysis, data mining, data science
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(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.philippefournierviger.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
Posted in Data Mining, Data science, Pattern Mining, Video
Tagged algorithm, apriori, big data, data mining, data science, frequent pattern mining, frequent patterns, video
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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
Posted in Big data, Conference, Data Mining, Data science
Tagged asia, big data, conference, data mining, pakdd
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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
Posted in Data Mining, Data science, Interview, Pattern Mining
Tagged data mining, data science, pattern mining, periodic pattern
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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
Posted in Big data, Data Mining, Data science
Tagged big data, data, data mining, data science, machine learning, mailing list, Research
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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 opensource tool called CodeAnalyzer ( http://sourceforge.net/projects/codeanalyzegpl/ ). This had provided some interesting insights about the structure of the project, especially in terms of lines of codes and code to … Continue reading
Posted in Data Mining, Data science, opensource
Tagged data analysis, data mining, data science, open source, software, spmf
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(video) Mining Sequential Rules with RuleGrowth
This is a video presentation of the paper “Mining PartiallyOrdered Sequential Rules Common to Multiple Sequences” about discovering sequential rules in sequences using the RuleGrowth algorithm. VIDEO LINK: http://www.philippefournierviger.com/spmf/videos/rulegrowth.mp4 More information about the RuleGrowth algorithm are provided in this research paper: FournierViger, P., Wu, C.W., Tseng, V.S., Cao, L., Nkambou, R. (2015). Mining PartiallyOrdered 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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Report about the ICGEC 2018 conference
I have recently attended the ICGEC 2018 conference (12th International Conference on Genetic and Evolutionary Computing) from December 1417, 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