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Recent Posts
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- New version of SPMF (2.44): 4 new algorithms, datasets and features
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- Email invitation to be a “special” speaker, a scam?
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- If I would do a PhD again, what would I do differently?
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- Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code) | The Data Mining Blog on An Introduction to Sequential Rule Mining
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Category Archives: Video
Discovering Alarm Correlation Rules for Network Fault Management (video)
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
Posted in Data Mining, Data science, Video
Tagged alarm, network, pattern mining, rules, telecommunication network
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(video) Top-K Cross-Level High Utility Itemset Mining
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
Posted in Pattern Mining, Utility Mining, Video
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(video) Mining Locally Trending High Utility Itemsets
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
(video) Mining Cost-Effective Patterns
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
Posted in Big data, Data Mining, Pattern Mining, Utility Mining, Video
Tagged cost, pattern mining, sequence, utility mining, video
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(video) Discovering interpretable high utility patterns in databases
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
(video) Identifying Stable Periodic Frequent Patterns using SPP-Growth
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
(video) Mining Frequent Itemsets with the Apriori algorithm
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
Posted in Data Mining, Data science, Pattern Mining, Video
Tagged algorithm, apriori, big data, data mining, data science, frequent pattern mining, frequent patterns, video
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(video) Minimal Correlated High Utility Itemsets with FCHM
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
Posted in Big data, Data Mining, Data science, Video
Tagged big data, data, data science, high utility itemset, high utility mining, pattern mining
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(video) Minimal High Utility Itemset Mining with MinFHM
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
A Model for Football Pass Prediction (source code + dataset)
In this blog post, I will discuss the data challenge of the Machine Learning for Sport Analytics workshop (MLSA 2018) at PKDD 2018. The challenge consisted of predicting the receivers of football passes (pass prediction). I will first briefly describe the data and then … Continue reading
Posted in Data Mining, Data science, Video
Tagged data, data mining, football, mlsa, prediction
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