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Recent Posts
 Approximate Algorithms for High Utility Itemset Mining
 UDML 2021 @ ICDM 2021
 MLiSE 2021 @ PKDD 2021 – a new workshop!
 Mining Episode Rules (video)
 A Brief Report about ACIIDS 2021 (13th Asian Conference on Intelligent Information and Database Systems)
 Phrasebank, an interesting tool to improve your academic writing.
 Papers without code (and the problem of nonreproducible research)
 An Overview of Pattern Mining Techniques
 How to write a research grant proposal?
 Some funny or interesting websites related to research
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Category Archives: Pattern Mining
UDML 2020 – Utility Driven Mining and Learning Workshop
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
Posted in Big data, Data Mining, Pattern Mining, Utility Mining
Tagged highutility mining, icdm, pattern mining, udml, utility mining, workshop
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(video) Mining CostEffective 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 costeffective patterns using some algorithms called CEPB and CEPN. Mining costeffective 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
The SPMF data mining library v.2.40 is released!
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 HUIMABC algorithm for mining high utility itemsets using Artificial Bee Colony Optimization (thanks to Wei Song and Chaoming Huang for contributing the code) … Continue reading
Posted in Data Mining, opensource, Pattern Mining
Tagged data mining, library, open source, pattern mining, software, spmf
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25 years of pattern mining
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
(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.philippefournierviger.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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Interview with Prof. Rage Uday Kiran about Data Mining
Today, I have the pleasure to interview Rage Uday Kiran researcher at the National Institute of Informatics in Tokyo, Japan. R. Uday Kiran is an Indian researcher who has been working in Japan for several years. He has been active mainly in the field of data mining, and … Continue reading
Posted in Data Mining, Data science, Interview, Pattern Mining
Tagged data mining, data science, pattern mining, periodic pattern
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(video) Mining Sequential Rules with RuleGrowth
This is a video presentation of the paper “Mining PartiallyOrdered Sequential Rules Common to Multiple Sequences” about discovering sequential rules in sequences using the RuleGrowth algorithm. VIDEO LINK: http://www.philippefournierviger.com/spmf/videos/rulegrowth.mp4 More information about the RuleGrowth algorithm are provided in this research paper: FournierViger, P., Wu, C.W., Tseng, V.S., Cao, L., Nkambou, R. (2015). Mining PartiallyOrdered Sequential Rules Common to Multiple … Continue reading
Posted in Big data, Data Mining, Pattern Mining
Tagged data mining, data science, pattern mining, sequence, sequential rule
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Introduction to frequent subranking mining
Rankings are made in many fields, as we naturally tend to rank objects, persons or things, in different contexts. For example, in a singing or a sport competition, some judges will rank participants from worst to best and give prizes to … Continue reading
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged data, data mining, data science, pattern, sequential pattern
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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.philippefournierviger.com/spmf/videos/minfhm.mp4 More information … Continue reading