Category Archives: Big data

(video) Identifying Stable Periodic Frequent Patterns using SPP-Growth

Posted on 2020-03-01 by Philippe Fournier-Viger

Today, I present a video about finding stable periodic patterns in data, and discuss a new algorithm named SPP-Growth for this task. VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/SPPGrowth.mp4 The  SPP-Growth algorithm and datasets for evaluating its performance are available in the SPMF software, which is open-source and programmed in Java. Source code and … Continue reading →

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(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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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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Funny pictures about data mining / machine learning

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

Today, I will share a few funny pictures related to data mining and machine learning that I have found online. These pictures comes from various sources (I don’t remember who created them). I will also perhaps add more later on that page Associations between … 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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China International BigData Industry Expo 2019 (a brief report)

Posted on 2019-05-25 by Philippe Fournier-Viger

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

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

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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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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