Author Archives: Philippe Fournier-Viger

A Tribute to Hypercard

In this blog post, I will talk about the first programming language that I have learn, which is HyperTalk. Younger readers may have never heard about it, as it was mostly popular in the 1980s and 1990s. Though, it is not … Continue reading

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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

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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

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Too many machine learning papers?

A few days ago, I have read a post on LinkedIn showing that the number of Machine Learning (ML) papers has been increasing very quickly over the last few years to about 100 ML papers per day (on Arxiv, a popular public repository … Continue reading

Posted in Academia, artificial intelligence | Tagged , , | 2 Comments

Unethical reviewers in academia

In this blog post, I will discuss about the importance of an ethical review process in academia, and the problem of unethical reviewers. I will share some stories about some unethical reviewers in journals and conferences. Peer review in academia The process of peer review in academia … Continue reading

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China International BigData Industry Expo 2019 (a brief report)

This week I am attending the 2019 China International Big Data Industry Expo (CIBD 2019), held in Guiyang, China. I will report on the event on this blog. The event is from May 26-29. Why this event is important? The China International Big Data Industry Expo is … Continue reading

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The review speed of academic journals

Today, I will talk about the review speed of academic journals. Review speed is an important criterion for selecting a journal to submit a paper when researchers face time constraints. For example, it is common that some students need to publish a paper quickly … Continue reading

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MLDM 2019… still not in New York! …and not published by Springer!

A few years ago, I decided to give a try at the MLDM 2016 conference, which I had never attended. It was not a bad conference, although quite small and the registration is quite expensive for a conference (about 650 euros). I submitted … Continue reading

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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: 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)

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 , , , , | 4 Comments