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Tag Archives: utility mining
UDML 2022 workshop on utility mining and learning is back at ICDM
I am glad to announce that the UDML workshop (5th Workshop on Utility-Driven Mining and Learning) will be back for the IEEE ICDM 2022 conference this year. The main focus of this workshop is about the concept of utility or … Continue reading
Posted in cfp
Tagged cfp, icdm, ieee icdm, pattern mining, udml, utility mining, workshop
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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
(video) TKQ : Top-K Quantitative High Utility Itemset Mining
In this blog post, I will share a short video about a new algorithms for top-k quantitative high utility itemset mining, which will be presented at ADMA 2021. Here is the link to watch the paper presentation:https://www.philippe-fournier-viger.com/spmf/videos/poerm_video.mp4 And here is the … Continue reading
Posted in Data Mining, Pattern Mining, Video
Tagged high utility itemset mining, itemset, pattern, pattern mining, utility, utility mining, video
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Brief report about UDML 2021 (4th International Workshop on Utility-Driven Mining and Learning
Today, it was the 4th International Workshop on Utility-Driven Mining and Learning (UDML 2021), held at the IEEE ICDM 2021 conference. I am a co-organizer of the workshop and will give a brief report about it. What is UDML? UDML … Continue reading
Posted in Conference, Data Mining, Pattern Mining, Utility Mining
Tagged data mining, pattern mining, udml, utility mining, workshop
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Finding short high utility itemsets!
Today, I will talk about pattern mining. I will explain a topic that is in my opinion very important but has been largely overlooked by the research community working on high utility itemset mining. It is to integrate length constraints … Continue reading
An Introduction to High Utility Quantitative Itemset Mining
Today, I will talk about pattern mining, a subfield of data science that aims at finding interesting patterns in data. More precisely, I will briefly describe a popular data mining task named high utility itemset mining. Then, I will describe … Continue reading
High Utility Itemset Mining with a Taxonomy
Today, I will talk about discovering interesting patterns in data, what is called pattern mining, and in particular about how the concept of taxonomy can be useful to find interesting patterns. There has been a lot of research on pattern … Continue reading
An Introduction to Episode Mining
In this blog post, I will talk about pattern mining (finding patterns in data) data mining task called episode mining. It aim at discovering interesting patterns in a long sequence of symbols or events. Sequence data is an important type … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged big data, data mining, data science, Emma, episode, episode mining, HUE-span, Minepi, pattern mining, sequential pattern, tke, utility mining
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Key Papers about High Utility Itemset Mining
In this blog post, I will talk about the most important algorithms for high utility itemset mining. I will present a list of algorithms that is of course subjective (according to my opinion). I did not list all the papers of … Continue reading
Approximate Algorithms for High Utility Itemset Mining
On this blog, I have previously given an introduction to a popular data mining task called high utility itemset mining. Put simply, this task aims at finding all the sets of values (items) that have a high importance in a … Continue reading
Posted in Pattern Mining, Utility Mining
Tagged bat algorithm, Bpso, genetic algorithm, hill climbing, HUIM-GA, itemset mining, pso, simulated annealing, utility mining
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