Category Archives: Big data

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 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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Brief report about the ECML PKDD 2021 conference

Posted on 2021-09-14 by Philippe Fournier-Viger

In this blog post, I will talk briefly about the ECML PKDD 2021 conference that I have attended virtually this week, from the 13th to the 17th of September 2021.. What is ECML PKDD? ECML PKDD is an european conference … Continue reading →

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High Utility Itemset Mining with a Taxonomy

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

Today, I will talk about discovering interesting patterns in data, what is called pattern mining, and in particular about how the concept of taxonomy can be useful to find interesting patterns. There has been a lot of research on pattern … Continue reading →

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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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