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Category Archives: Data Mining
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
UDML 2021 @ ICDM 2021
Hi all, This is to let you know that the UDML workshop on utility driven mining and learning is back again this year at ICDM 2021, for the fourth edition. The topic of this workshop is the concept of utility … Continue reading
Posted in Big data, cfp, Conference, Data Mining, Utility Mining
Tagged cfp, data mining, icdm, icdm 2021, icdm conference, ieee icdm, machine learning, udml, utility mining, workshop
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Mining Episode Rules (video)
In this blog post, I will share the video of our most recent data mining 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 … Continue reading
Posted in Big data, Data Mining, Machine Learning, Video
Tagged aciids 2021, data mining, episode, episode rule, machine learning, pattern mining, video
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A Brief Report about ACIIDS 2021 (13th Asian Conference on Intelligent Information and Database Systems)
In this blog post, I will give a brief report about the ACIIDS 2021 conference, that I am attending from April 7–10, 2021. What is ACIIDS? ACIIDS is an international conference focusing on intelligent information and database systems. The conference … Continue reading
An Overview of Pattern Mining Techniques
In this blog post, I will give an overview of some of the main pattern mining tasks, to explain what kind of patterns can be found in different types of symbolic data. I will describe some main types of data … Continue reading
Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code)
Recently, my team has been working on analyzing COVID-19 genome sequences using pattern mining and other data mining and AI techniques. We have recently published a paper in the Applied Intelligence journal about this. In this blog post, I will … Continue reading
New version of SPMF (2.44): 4 new algorithms, datasets and features
Today, I am happy to announce that a new version of the SPMF open-source data mining software is released (v. 2.44). This is the download page. This new version was made possible due to several contributors. What is new? New … Continue reading
Posted in Data Mining, Data science, open-source, Pattern Mining, spmf, Utility Mining
Tagged algorithm, data mining, data science, dataset, open source, open-source, pattern mining, spmf
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An introduction to frequent subgraph mining
In this blog post, I will give an introduction to an interesting data mining task called frequent subgraph mining, which consists of discovering interesting patterns in graphs (a pattern mining task). This task is important since data is naturally represented as graph in many domains (e.g. … Continue reading
Posted in Big data, Data Mining, Pattern Mining
Tagged data mining, graph, gspan, pattern mining, subgraph, subgraph mining, tkg
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Sequential pattern mining vs Sequence prediction ?
In this blog post, I will answer a question that I have received in my e-mail about what is the difference between sequential pattern mining and sequence prediction. I think that this is a good question and sharing the answer … Continue reading
Posted in Big data, Data Mining
Tagged data science, pattern mining, sequence, sequence prediction, sequential pattern
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Analyzing COVID-19 tweets to understand the public opinion
In this blog post, I will talk briefly about how tweets collected on Twitter can be analyzed to understand the public opinion about COVID-19. This is based on the below research paper, that I have recently participated to: Noor, S., … Continue reading
Posted in artificial intelligence, Data Mining, Data science
Tagged coronavirus, covid, covid19, tweet, twitter
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