Tag Archives: data science

How to Analyze the Complexity of Pattern Mining Algorithms?

Today, I will explain how to analyze the complexity of pattern mining algorithms for topics such as itemset mining, sequential pattern mining, subgraph mining, sequential rule mining and periodic pattern mining. This is something that is often asked by reviewers … Continue reading

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New videos about pattern mining

Today, I share with you some new videos that I have recorded about pattern mining. The first videos gives an introduction to some important topics: sequential pattern mining, frequent subgraph mining and high utility itemset mining, while the lastvideo explains … Continue reading

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Brief report about ADMA 2021

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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Serious issues with Time Series Anomaly Detection Research

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

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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What is a good pattern mining algorithm?

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

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

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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Towards SPMF v3.0…

Today, I will talk a little bit about the recent improvements and future direction for the SPMF data mining library. How SPMF started? SPMF is a software project that I started around 2008 when I was a Ph.D student in … Continue reading

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An Introduction to Episode Mining

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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