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Tag Archives: data mining
(video) Periodic Pattern Mining
Hi all, this is to let you know that I have made another video to explain some interesting pattern mining topics. This time, I will talk about periodic pattern mining. You can watch the video here: (pdf / ppt / video – 34 min) … Continue reading
Posted in Pattern Mining
Tagged data mining, data science, pattern mining, periodic itemset, periodic pattern, periodic pattern mining, pfpm, video
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A New Tool for Running Performance Comparison of Algorithms in SPMF 2.54
Today, I am happy to announce a cool new feature in SPMF 2.54, which is a tool to automatically run performance experiments to compare several algorithms when a parameter is varied. This is a useful feature to compare algorithms when … Continue reading
Posted in open-source, Pattern Mining, spmf
Tagged data mining, experiments, java, pattern mining, software, spmf
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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
Brief report about the DASFAA 2022 conference
This week, I am attending the DASFAA 2022 conference, which is held online from the 11th to the 14th April 2022. In this blog post, I will talk about this event, and will update the blog through the conference. DASFAA … Continue reading
Posted in Conference, Data Mining
Tagged big data, conference, dasfaa, dasfaa 2022, data, data mining, database, database systems
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The HUIM-Miner and FHM algorithms (video)
Today, I post one more new video to explain concepts about pattern mining. In the new video， I talk about high utility itemset mining, and explain the HUI-Miner and FHM algorithms. Those are two popular high utility itemset mining algorithms … Continue reading
The PrefixSpan algorithm (video)
I have posted a new video about pattern mining, explaining the PrefixSpan algorithm. It assumes that you know already what is sequential pattern mining. If you are not familiar with sequential pattern mining, you can first watch my video Introduction … Continue reading
Posted in Data Mining, Pattern Mining, Video
Tagged algorithm, data mining, pattern mining, prefixspan, sequential pattern mining, video
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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
Posted in Data Mining, Pattern Mining, Video
Tagged data mining, data science, Eclat, frequent subgraph, graph, introduction, itemset, pattern mining, sequential pattern, video
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SPMF 2.52 is released
This is just a short blog post to let you know that a new version of the SPMF library has been released, called version 2.52. This new version contains two new algorithms for high utility itemset mining and one for … Continue reading
Posted in Data Mining, open-source, Pattern Mining, spmf, Utility Mining
Tagged data mining, episode, itemset, open-source, pattern mining, release, software, spmf, utility
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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
Posted in Big data, Conference, Data Mining, Data science
Tagged adma, artificial intelligence, big data, data mining, data science, machine learning, pattern mining
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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
Posted in Big data, Data Mining, Data science, Time series
Tagged anomaly, anomaly detection, artificial intelligence, data mining, data science, time series
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