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Recent Posts
 How to cite equations in a research paper?
 Analyzing the COVID19 genome with AI and data mining techniques (paper + data + code)
 New version of SPMF (2.44): 4 new algorithms, datasets and features
 An introduction to frequent subgraph mining (repost)
 Sequential pattern mining vs Sequence prediction ?
 Email invitation to be a “special” speaker, a scam?
 Two journal special issues with deadlines in 2021
 Atomic Habits to Become a Better Researcher
 The Hard Road to Success in Academia
 If I would do a PhD again, what would I do differently?
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Category Archives: Big data
Analyzing the COVID19 genome with AI and data mining techniques (paper + data + code)
Recently, my team has been working on analyzing COVID19 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
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
5 Comments
Sequential pattern mining vs Sequence prediction ?
In this blog post, I will answer a question that I have received in my email 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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The 10 most cited papers in our “Data Science and Pattern Recognition” journal!
As some of you know, I am editorinchief of the Data Science and Pattern Recognition (DSPR) journal. This journal has started in 2017 and four volumes have been published already with 28 papers, which I consider as a success. One … Continue reading
Posted in Academia, Big data, cfp, Data science, General, Machine Learning
Tagged big data, data mining, data science, dspr, journal, kdd, pattern recognition
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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
2 Comments
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 coorganizing at the IEEE ICDM 2020 conference. This workshop was previously held at KDD 2018 and … Continue reading
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