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Category Archives: Big data
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
12 Comments
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
2 Comments
The importance of explainable data science and machine learning models
In this blog post, I will talk about an important concept, which is often overlooked in data mining and machine learning: explainability. To discuss this topic, it is necessary to first remember what is the goal of data mining and machine learning. The goal of data mining is … Continue reading
Brief Report about IEEE ICDM 2020
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, icdm 2020, ieee icdm, machine learning, udml, workshop
6 Comments
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
4 Comments
An Introduction to Data Mining
In this blog post, I will introduce the topic of data mining. The goal is to give a general overview of what is data mining. What is data mining? Data mining is a field of research that has emerged in the 1990s, … Continue reading
Posted in Big data, Data Mining, Data science
Tagged artificial intelligence, big data, data mining, data science, machine learning
23 Comments
Five recent books on pattern mining
In this blog post, I will list a few interesting and recent books on the topic of pattern mining (discovering interesting patterns in data). This mainly lists books from the last 5 years. High utility pattern mining: Theory, Applications and algorithms (2019). This … Continue reading
Posted in Big data, Data Mining, Pattern Mining, Utility Mining
Tagged big data, book, data, data mining, data science, pattern mining
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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 high-utility mining, icdm, pattern mining, udml, utility mining, workshop
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(video) Mining Cost-Effective 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 cost-effective patterns using some algorithms called CEPB and CEPN. Mining cost-effective 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