Tag Archives: data mining

Brief report about the DSIT 2021 conference (4th Intern. Conf. on Data Science and Information Technology)

This week, I am attending the DSIT 2021 conference (4th International Conference on Data Science and Information Technology) from July 23 to 25 in Shanghai, China. The DSIT 2021 conference is co-located with the DMBD 2021 conference (the 4th International … Continue reading

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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, for the fourth edition. The topic of this workshop is the concept of utility in … Continue reading

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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 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 called “episode … 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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