Tag Archives: pattern mining

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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“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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UDML 2020 – Utility Driven Mining and Learning Workshop

Posted on 2020-04-01 by Philippe Fournier-Viger

Hi all, This is to let you know the good news that the UDML workshop on Utility Driven Mining and Learning will be back this year, at IEEE ICDM 2020, for the third edition (UDML 2020). This is a good venue to submit your papers about data mining and machine … Continue reading →

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(video) Mining Cost-Effective Patterns

Posted on 2020-03-09 by Philippe Fournier-Viger

In this blog post, I will share another talk that I have recorded recently. This time, I will explain a new paper from my team about discovering cost-effective patterns using some algorithms called CEPB and CEPN. Mining cost-effective patterns is a new topic in pattern mining … Continue reading →

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(video) Discovering interpretable high utility patterns in databases

Posted on 2020-03-06 by Philippe Fournier-Viger

Today, I will share a short keynote talk (28 min) about discovering interpretable high utility patterns in data that I have presented at the CCNS 2020 conference. This talk gives an overview of techniques for finding interesting and useful patterns that can … Continue reading →

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(video) Identifying Stable Periodic Frequent Patterns using SPP-Growth

Posted on 2020-03-01 by Philippe Fournier-Viger

Today, I present a video about finding stable periodic patterns in data, and discuss a new algorithm named SPP-Growth for this task. VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/SPPGrowth.mp4 The  SPP-Growth algorithm and datasets for evaluating its performance are available in the SPMF software, which is open-source and programmed in Java. Source code and … Continue reading →

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The SPMF data mining library v.2.40 is released!

Posted on 2019-10-23 by Philippe Fournier-Viger

Hi all, I am please to announce that a new version of SPMF has just been published (v 2.40). It contains 9 novel algorithms: It also includes some bug fixes and other minor improvements. I did not release a new version of SPMF since a few … Continue reading →

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25 years of pattern mining

Posted on 2019-09-02 by Philippe Fournier-Viger

This year, we are in 2019, and it is already 25 years since Agrawal wrote his seminal papers on frequent itemset mining and association rule mining in 1994. Since then, there has been thousands of papers published on this topic, some about algorithm design, new pattern mining … Continue reading →

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(video) Mining Sequential Rules with RuleGrowth

Posted on 2018-12-26 by Philippe Fournier-Viger

This is a video presentation of the paper “Mining Partially-Ordered Sequential Rules Common to Multiple Sequences” about discovering sequential rules in sequences using the RuleGrowth algorithm. VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/rulegrowth.mp4 More information about the RuleGrowth algorithm are provided in this research paper: Fournier-Viger, P., Wu, C.-W., Tseng, V.S., Cao, L., Nkambou, R. (2015). Mining Partially-Ordered Sequential Rules Common to Multiple … Continue reading →

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