Category Archives: Big data

An Introduction to Episode Mining

Posted on 2021-08-22 by Philippe Fournier-Viger

In this blog post, I will talk about pattern mining (finding patterns in data) data mining task called episode mining. It aim at discovering interesting patterns in a long sequence of symbols or events. Sequence data is an important type … Continue reading →

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Key Papers about Episode Mining

Posted on 2021-08-16 by Philippe Fournier-Viger

This post presents the key papers about episode mining. If you are not familiar with what is episode mining, it is a data mining task, which aims at finding patterns in a sequence of events or symbols . A short … Continue reading →

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Brief report about the DSIT 2021 conference (4th Intern. Conf. on Data Science and Information Technology)

Posted on 2021-07-23 by Philippe Fournier-Viger

This week, I am attending the DSIT 2021 conference (4th International Conference on Data Science and Information Technology) from July 23 to 25 in Shanghai, China. The DSIT 2021 conference is co-located with the DMBD 2021 conference (the 4th International … Continue reading →

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Key Papers about High Utility Itemset Mining

Posted on 2021-06-12 by Philippe Fournier-Viger

In this blog post, I will talk about the most important algorithms for high utility itemset mining. I will present a list of algorithms that is of course subjective (according to my opinion). I did not list all the papers of … Continue reading →

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UDML 2021 @ ICDM 2021

Posted on 2021-04-15 by Philippe Fournier-Viger

Hi all, This is to let you know that the UDML workshop on utility driven mining and learning is back again this year at ICDM 2021, for the fourth edition. The topic of this workshop is the concept of utility … Continue reading →

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MLiSE 2021 @ PKDD 2021 – a new workshop!

Posted on 2021-04-14 by Philippe Fournier-Viger

I am glad to announce that I am co-organizing a new workshop called MLiSE 2021 (1st international workshop on Machine Learning in Software Engineering), held in conjunction with the ECML PKDD 2021 conference. Briefly, the aim of this workshop is … Continue reading →

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Mining Episode Rules (video)

Posted on 2021-04-11 by Philippe Fournier-Viger

In this blog post, I will share the video of our most recent data mining paper presented last week at ACIIDS 2021. It is about a new algorithm named POERM for about analyzing sequences of events or symbols. The algorithm will find rules … Continue reading →

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A Brief Report about ACIIDS 2021 (13th Asian Conference on Intelligent Information and Database Systems)

Posted on 2021-04-06 by Philippe Fournier-Viger

In this blog post, I will give a brief report about the ACIIDS 2021 conference, that I am attending from April 7–10, 2021. What is ACIIDS? ACIIDS is an international conference focusing on intelligent information and database systems. The conference … Continue reading →

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An Overview of Pattern Mining Techniques

Posted on 2021-03-09 by Philippe Fournier-Viger

In this blog post, I will give an overview of some of the main pattern mining tasks, to explain what kind of patterns can be found in different types of symbolic data. I will describe some main types of data … Continue reading →

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Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code)

Posted on 2021-02-18 by Philippe Fournier-Viger

Recently, my team has been working on analyzing COVID-19 genome sequences using pattern mining and other data mining and AI techniques. We have recently published a paper in the Applied Intelligence journal about this. In this blog post, I will … Continue reading →

Posted in artificial intelligence, Big data, Bioinformatics, Data Mining, Data science, Machine Learning, Pattern Mining | Tagged , , , , , , , , , | 5 Comments