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- Sequential pattern mining vs Sequence prediction ?
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Category Archives: Data Mining
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 AI techniques. We have recently published a paper in the Applied Intelligence journal about this. In this blog post, I will give some brief … 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, 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 (repost)
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. This task is important since data is naturally represented as graph in many domains (e.g. social networks, chemical molecules, … 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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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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A Brief Report about the IEEE ICDM 2020 Conference
In this blog post, I will talk about the IEEE ICDM 2020 conference that I have attended virtually. The conference was supposed to be held in Italy but due to the coronavirus pandemic, it was held online. About the ICDM … Continue reading
Posted in Big data, Conference, Data Mining, Machine Learning
Tagged big data, conference, data, data mining, icdm, machine learning, udml, workshop
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Brief Report about the PKDD 2020 conference
In this blog post, I will talk about the ECML PKDD 2020 conference, that was held from the 14th to 18th September 2020. This post will be a little bit brief because I did not attend the whole conference but … Continue reading
Posted in artificial intelligence, Big data, Conference, Data Mining
Tagged ai, artificial intelligence, conference, data mining, europe, machine learning, pkdd, pkdd2020
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A brief report about the IEA AIE 2020 conference
In this blog post, I will write a brief report about the 33rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA AIE 2020), held in Kitakyushu, Japan from the 22nd to 25th September 2020. What … Continue reading
Posted in artificial intelligence, Conference, Data Mining
Tagged 2020, ai, artificial intelligence, conference, data mining, ieaaie, japan, springer
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The Upcoming 3rd Utility Mining and Learning Workshop (UDML 2020!) at IEEE ICDM 2020
Today, I just want to talk a little bit about the upcoming 3rd UDML 2020 workshop on utility mining and learning that I am co-organizing at the IEEE ICDM 2020 conference. This workshop was previously held at KDD 2018 and … Continue reading