Category Archives: Pattern Mining

(video) Top-K Cross-Level High Utility Itemset Mining

Posted on 2020-10-18 by Philippe Fournier-Viger

Today, I will share a video of our upcoming paper presentation about top-k cross-level high utility itemset mining that we will present at the UDML 2020 workshop at ICDM 2020. In this paper, we present a novel algorithm named TKC … Continue reading →

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Call for chapters on periodic pattern mining

Posted on 2020-08-02 by Philippe Fournier-Viger

Hi all, I have not written much on the blog in the last month because I have been very busy with numerous projects and deadlines. I thus took a small break to focus on other things. Now that I have … 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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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: the HUIM-ABC algorithm for mining high utility itemsets using Artificial Bee Colony Optimization (thanks to Wei Song and Chaoming Huang for contributing the code) … 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 Frequent Itemsets with the Apriori algorithm

Posted on 2019-04-20 by Philippe Fournier-Viger

This is a video presentation of the Apriori algorithm for discovering frequent itemsets in data. Frequent itemset mining is one of the most popular data mining task. VIDEO LINK: http://www.philippe-fournier-viger.com/spmf/videos/apriori.mp4 The Java source code of the Apriori algorithm and datasets for evaluating its performance are available in the SPMF software. If you want … Continue reading →

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