Category Archives: Data Mining

Discovering Alarm Correlation Rules for Network Fault Management (video)

Posted on 2020-12-29 by Philippe Fournier-Viger

In this blog post, I will share the video of our new paper about analyzing alarms in telecomunication networks presented at the AIOPS 2020 workshop. This work is part of an industrial collaboration project. The motivation for this project is … Continue reading →

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Brief Report about IEEE ICDM 2020

Posted on 2020-11-18 by Philippe Fournier-Viger

In this blog post, I will talk about the IEEE ICDM 2020 conference that I have attended virtually. The conference was supposed to be held in Italy but due to the coronavirus pandemic, it was held online. About the ICDM … Continue reading →

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Brief Report about the PKDD 2020 conference

Posted on 2020-10-22 by Philippe Fournier-Viger

In this blog post, I will talk about the ECML PKDD 2020 conference, that was held from the 14th to 18th September 2020. This post will be a little bit brief because I did not attend the whole conference but … Continue reading →

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A brief report about the IEA AIE 2020 conference

Posted on 2020-09-22 by Philippe Fournier-Viger

In this blog post, I will write a brief report about the 33rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA AIE 2020), held in Kitakyushu, Japan from the 22nd to 25th September 2020. What … Continue reading →

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An Introduction to Data Mining

Posted on 2020-08-22 by Philippe Fournier-Viger

In this blog post, I will introduce the topic of data mining. The goal is to give a general overview of what is data mining. What is data mining? Data mining is a field of research that has emerged in the 1990s, … Continue reading →

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Five recent books on pattern mining

Posted on 2020-08-07 by Philippe Fournier-Viger

In this blog post, I will list a few interesting and recent books on the topic of pattern mining (discovering interesting patterns in data). This mainly lists books from the last 5 years. High utility pattern mining: Theory, Applications and algorithms (2019). This … Continue reading →

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Datasets of 30 English novels for pattern mining and text mining

Posted on 2020-05-30 by Philippe Fournier-Viger

Today, I want to announce that I have just made public datasets of 30 novels from English Novels from 10 authors of the XIX century. These datasets can be used for testing algorithms for sequential pattern mining, sequential rule mining, as well as for some text … Continue reading →

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The PAKDD 2020 conference (a brief report)

Posted on 2020-05-10 by Philippe Fournier-Viger

In this report, I will talk about the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), from the 11th to 14th May 2020. The PAKDD conference PAKDD is a top international conference on data mining / big data in the Pacific-Asia part of the world. … Continue reading →

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“Pattern Mining :Theory and Practice” (textbook in Thai, with SPMF)

Posted on 2020-04-30 by Philippe Fournier-Viger

Hi all, this is to announce that a new textbook in Thai has been published about pattern mining, which includes many examples using the SPMF software. The textbook named “Pattern Mining: Theory and Practice” is written by teacher Panida Songram from Mahasarakham University (Thailand) and can be used for … Continue reading →

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(video) Mining Locally Trending High Utility Itemsets

Posted on 2020-04-27 by Philippe Fournier-Viger

Today, I want to share with you the video presentation that I have prepared for my paper at PAKDD 2020. It presents a new problem where we want to discover locally trending high utility itemsets (LTHUIs). A LTHUI is a set of items purchased by … Continue reading →

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