Category Archives: Data Mining

Brief report about ADMA 2021

Posted on 2022-02-02 by Philippe Fournier-Viger

This week, I have attended the 16th International Conference on Advanced Data Mining and Applications (ADMA 2021) conference, which is held online due to the COVID pandemic. What is ADMA ? ADMA is a medium-scale conference that focus on data science and its … Continue reading →

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(video) TKQ : Top-K Quantitative High Utility Itemset Mining

Posted on 2022-01-21 by Philippe Fournier-Viger

In this blog post, I will share a short video about a new algorithms for top-k quantitative high utility itemset mining, which will be presented at ADMA 2021. Here is the link to watch the paper presentation:https://www.philippe-fournier-viger.com/spmf/videos/poerm_video.mp4 And here is the … Continue reading →

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Serious issues with Time Series Anomaly Detection Research

Posted on 2022-01-08 by Philippe Fournier-Viger

In this short blog post, I will talk about some serious issues that have been raised about many studies on anomaly detection for time series. More precisely, it was recently shown that a lot of papers on anomaly detection for … Continue reading →

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Brief report about IEEE ICDM 2021

Posted on 2021-12-08 by Philippe Fournier-Viger

This blog post provides a brief report about the IEEE ICDM2021 conference (International Conference on Data Mining), which was held virtually from New Zealand from the 7th December to the 10th December 2021. What is ICDM? ICDM is one of … Continue reading →

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Brief report about UDML 2021 (4th International Workshop on Utility-Driven Mining and Learning

Posted on 2021-12-07 by Philippe Fournier-Viger

Today, it was the 4th International Workshop on Utility-Driven Mining and Learning (UDML 2021), held at the IEEE ICDM 2021 conference. I am a co-organizer of the workshop and will give a brief report about it. What is UDML? UDML … Continue reading →

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What is a good pattern mining algorithm?

Posted on 2021-12-05 by Philippe Fournier-Viger

Today, I will continue talking about pattern mining, and in particular about what is a good pattern mining algorithm. There are a lot of algorithms for discovering patterns in data that are not useful in real-life. To design a good pattern … Continue reading →

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Some common problems of pattern mining papers

Posted on 2021-11-29 by Philippe Fournier-Viger

Today, I will talk about pattern mining, a subfield of data mining, that aims at discovering interesting patterns in data. In particular, I will talk about why several papers from that field do not have much impact. This is generally … Continue reading →

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Three videos about Recent Studies on Pattern Mining

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

In this blog post, I will share three videos about pattern mining describing three research papers from from my team. These videos are not very long, as they are designed to just give a brief overview about the papers. Hope … Continue reading →

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Brief report about EITCE 2021

Posted on 2021-10-23 by Philippe Fournier-Viger

Today, I attended the EITCE 2021 conference, which was held in Xiamen, China from the 22nd to 24th October 2021. The conference was held virtually and I participated as an invited keynote speaker. In this blog post, I will talk … Continue reading →

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CFP: The 1st Workshop on Pattern Mining and Machine Learning in Big Complex Database

Posted on 2021-10-11 by Philippe Fournier-Viger

This is to let you know about the upcoming 1st Workshop on Pattern mining and Machine learning in Big complex Databases (PMDB 2022) workshop that I co-organize at the DASFAA 2022 conference! PMDB 2022 aims at providing a place for researchers … Continue reading →

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