Category Archives: Video

Mining Episode Rules (video)

Posted on 2021-04-11 by Philippe Fournier-Viger

In this blog post, I will share the video of our most recent paper presented last week at ACIIDS 2021. It is about a new algorithm named POERM for about analyzing sequences of events or symbols. The algorithm will find rules called “episode … Continue reading →

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Discovering Alarm Correlation Rules for Network Fault Management (video)

Posted on 2020-12-29 by Philippe Fournier-Viger

In this blog post, I will share the video of our new paper about analyzing alarms in telecomunication networks presented at the AIOPS 2020 workshop. This work is part of an industrial collaboration project. The motivation for this project is … Continue reading →

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(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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(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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(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: http://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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(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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(video) Minimal Correlated High Utility Itemsets with FCHM

Posted on 2018-12-20 by Philippe Fournier-Viger

This is a video presentation of the paper “Mining Correlated High-Utility Itemsets Using the bond Measure” about correlated high utility pattern mining using FCHM.  VIDEO LINK: http://www.philippe-fournier-viger.com/spmf/videos/FCHM_correlated_itemsets.mp4 More information about the FCHM algorithm are provided in this research paper: Fournier-Viger, P., Zhang, Y., Lin, J. C.-W., … Continue reading →

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(video) Minimal High Utility Itemset Mining with MinFHM

Posted on 2018-10-22 by Philippe Fournier-Viger

This is a video presentation of the paper “Mining Minimal High Utility Itemsets” about high utility itemset mining using MinFHM. It is the first video of a series of videos that will explain various data mining algorithms. VIDEO LINK : http://www.philippe-fournier-viger.com/spmf/videos/minfhm.mp4 More information … Continue reading →

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