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Recent Posts
- An EXE version of SPMF for Windows
- A First Release of SPMF-Server and SPMF-Server Clients
- CFP: Special session at SOMET 2026
- SPMF 2.65 is released!
- The Item-Itemset Matrix Viewer: a new feature in SPMF 2.65 (to be released)
- Merry X-Mas and Happy New year to SPMF users!
- The 1st HP4MoDa workshop was held at BIBM 2025
- Another release of SPMF: v2.64b
- A prototype of an improved GUI for the SPMF pattern mining software
- Upcoming in SPMF 2.64b : The “Pattern Diff Analyzer”
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Author Archives: Philippe Fournier-Viger
How to publish in top conferences/journals? (Part 2) – The opportunity cost of research
Many researchers wish to produce high quality papers and have a great research impact. But how? In a previous blog post, I have discussed how the “blue ocean strategy” can be applied to publish in top conference/journal. In this blog post, I will discuss another important concept for producing … Continue reading
Posted in Academia, Research
Tagged academia, articles, papers, publications, Research, researcher
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The PAKDD 2017 conference (a brief report)
This week, I have attended the PAKDD 2017 conference in Jeju Island, South Korea, this week, from the 23 to 26th May. PAKDD is the top data mining conference for the asia-pacific region. It is held every year in a different pacific-asian country. In this blog post, I will write a brief report about … Continue reading
Posted in Academia, Conference, Data Mining, Data science
Tagged asia, big data, conference, data mining, data science, korea, pakdd
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How to publish in top conferences/journals? (Part 1) – The Blue Ocean Strategy
A question that many young researchers ask is how to get your papers published in top conferences and journal. There are many answers to this question. In this blog post, I will discuss a strategy for carrying research called the “Blue Ocean Strategy”. This strategy was initially … Continue reading
This is why you should visualize your data!
In the data science and data mining communities, several practitioners are applying various algorithms on data, without attempting to visualize the data. This is a big mistake because sometimes, visualizing the data greatly helps to understand the data. Some phenomena are obvious when visualizing the data. In this blog post, I will give a few … Continue reading
Posted in Big data, Data Mining, Data science
Tagged big data, data, data mining, data science, visualization
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An Introduction to Sequential Pattern Mining
In this blog post, I will give an introduction to sequential pattern mining, an important data mining task with a wide range of applications from text analysis to market basket analysis. This blog post is aimed to be a short introduction. If you want to read a more … Continue reading
Write more papers or write better papers? (quantity vs quality)
In this blog post, I will discuss an important question for young researchers, which is: Is it better to try to write more papers or to try to write fewer but better papers? In other words, what is more important: quantity or quality in research? To answer this question, I will first explain why quantity and quality are important, and then … Continue reading
Using LaTeX for writing research papers
Many researchers are using Microsoft Word for writing research papers. However, Microsoft Word has several problems or limitations. In this blog post, I will discuss the use of LaTeX as an alternative to Microsoft Word for writing research papers. What is LaTeX? LaTeX is a document preparation system, proposed in the 1980s. It is used … Continue reading
We are launching a new data mining journal
In this blog post, I will discuss one of my recent and current project. I have been recently working with my colleague Chun-Wei Lin on launching a new journal, titled “Data Science and Pattern Recognition“. This is a new open-access journal, … Continue reading
Posted in Big data, Data Mining, Data science, Research
Tagged big data, data mining, data science, journal
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What is the job of a university professor?
In this blog post, I will discuss the job of university professor. And, I will discuss why I have chosen to become one. This post is especially aimed at students who are considering working in academia after their Ph.D. What is … Continue reading
Posted in Academia, General, Research
Tagged academia, professor, Research, university
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Introduction to the K-Means clustering algorithm (with Java code)
In this blog post, I will introduce the popular data mining task of clustering (also called cluster analysis). I will explain what is the goal of clustering, and then introduce the popular K-Means algorithm with an example. Moreover, I will briefly explain how an open-source Java implementation of … Continue reading
Posted in Big data, Data Mining, Data science, open-source
Tagged clustering, data mining, data science, java, k-means, open-source, spmf
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