Category Archives: Data science

(Video) Sequence prediction with the CPT and CPT+ Models

Posted on 2020-02-27 by Philippe Fournier-Viger

Today, I presents the CPT and CPT+ sequence prediction models in a video. Sequence prediction is an important task in data mining which consists of predicting the next symbols of a sequence. It can be used for example to predict the next word that someone will … Continue reading →

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What is the difference between data mining and machine learning?

Posted on 2019-12-24 by Philippe Fournier-Viger

In this short blog post, I will answer the question: what is the difference between Machine Learning and Data Mining? I will first explain what is artificial intelligence, machine learning and data mining. Then, I will answer the question. What is artificial intelligence … Continue reading →

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Brief report about the ADMA 2019 conference

Posted on 2019-11-18 by Philippe Fournier-Viger

This week, I am also attending the 14th International Conference on Advanced Data Mining and Applications (ADMA 2019) conference in Dalian, China, from the 21st to 23rd November at Dalian Neusoft University of Information. About ADMA The ADMA conference is focused on data mining and its applications, and is … Continue reading →

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25 years of pattern mining

Posted on 2019-09-02 by Philippe Fournier-Viger

This year, we are in 2019, and it is already 25 years since Agrawal wrote his seminal papers on frequent itemset mining and association rule mining in 1994. Since then, there has been thousands of papers published on this topic, some about algorithm design, new pattern mining … Continue reading →

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Brief report about DAWAK 2019 / DEXA 2019

Posted on 2019-08-25 by Philippe Fournier-Viger

This week, I am attending the DAWAK 2019 and DEXA 2019 conferences in Linz, Austria from the 26th to the 29th August 2019. In this blog post, I will provide a report about these conferences. About the DAWAK and DEXA conferences DAWAK ( Intern. Conf. on Data Warehousing … Continue reading →

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Correlation does not imply causation

Posted on 2019-06-10 by Philippe Fournier-Viger

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 →

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(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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Interview with Prof. Rage Uday Kiran about Data Mining

Posted on 2019-04-02 by Philippe Fournier-Viger

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)

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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