Tag Archives: data mining

MLiSE 2021 @ PKDD 2021 – a new workshop!

I am glad to announce that I am co-organizing a new workshop called MLiSE 2021 (1st international workshop on Machine Learning in Software Engineering), held in conjunction with the ECML PKDD 2021 conference. Briefly, the aim of this workshop is … Continue reading

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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

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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

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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

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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. This task is important since data is naturally represented as graph in many domains (e.g. social networks, chemical molecules, … Continue reading

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The 10 most cited papers in our “Data Science and Pattern Recognition” journal!

As some of you know, I am editor-in-chief 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

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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

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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

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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

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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

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