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Recent Posts
- Two upcoming workshops on bioinformatics and machine learning / pattern mining
- Upcoming SPMF 2.66 feature: Improved Workflow Editor
- Upcoming feature of SPMF 2.66 : Visual Pattern Viewer
- Improved Visual Pattern Viewer with Pagination in SPMF 2.66
- Improved user interface in SPMF v.2.66 (part 2)
- Improved user interface in SPMF 2.66
- Academic genealogy
- An EXE version of SPMF for Windows
- A First Release of SPMF-Server and SPMF-Server Clients
- CFP: Special session at SOMET 2026
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Author Archives: Philippe Fournier-Viger
Six important skills to become a succesful researcher
Today, I will discuss how to become a good researcher and what are the most important skills that a researcher should have. This blog post is aimed at young Master degree students and Ph.D students, to provide some useful advice … Continue reading
Posted in General, Research
61 Comments
Finding a Data Scientist Unicorn or building a Data Science Team?
In recent months/years, many blog posts have been trending on the social Web about what is a “data scientist“, as this term has become very popular. As there is much hype about this term, some people have even jokingly said that … Continue reading
Posted in Big data, Data Mining, Data science
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Brief report about the ACM SAC 2016 conference
Last week, I have attended the ACM SAC 2016 conference (31st ACM Symposium on Applied Computing). It was held in Pisa, Italy from the 4th to the 8th April 2016. In this blog post, I will briefly discuss this conference. About … Continue reading
Posted in Big data, Conference, Data Mining, Research, Uncategorized
3 Comments
News about SPMF
Some quick news about the SPMF project. First, this month I have made a few updates to SPMF. Two new algorithms have been added: USpan (for high-utility sequential pattern mining) and FCHM (for correlated high utility itemset mining). Moreover, I have fixed … Continue reading
SPMF data mining library 0.98: new pattern visualization window
This blog post is to let you know that I have just published a new version of the SPMF open-source Java data mining library (0.98) that offers a new window for visualizing the patterns found by data mining algorithms. This … Continue reading
Posted in Data Mining, General, open-source, Research, spmf
Tagged big data, data mining, GPL, library, open-source, spmf
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The ADMA 2015 conference has been cancelled
Recently I have submitted a few papers to the ADMA 2015 conference (11th conference on Advanced Data Mining and Applications, which was supposed to be held at Fudan university, China in January 2016 (despite being named 2015). The website of ADMA 2015 conference ( … Continue reading
Posted in Big data, Conference, Data Mining
5 Comments
Interview with the SPMF library founder
Today, I will just write a short blog post to let you know that I was recently interviewed on Rahaman’s blog. The interview talks about various topics such as (1) why creating the SPMF data mining library, (2) why choosing to work in … Continue reading
Posted in Big data, Data Mining, Data science, Research, spmf
Tagged big data, data mining, pattern mining, spmf
2 Comments
200,000 visitors on the SPMF website!
Today, I will just write a short blog post to mention that the SPMF open-source data mining library has recently passed the milestone of 200,000 visitors. This is possible thanks to the support of all users of SPMF, and the contributors … Continue reading
Posted in Data Mining, Data science, open-source, Research, spmf
Tagged data mining, data science, open source, pattern mining, software, spmf
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Top 5 Data Mining Books for Computer Scientists
I have often been asked what are some good books for learning data mining. In this blog post, I will answer this question by discussing some of the top data mining books for learning data mining and data science from a computer science perspective. … Continue reading
Posted in Data Mining, Research
3 Comments
How to design memory-efficient data mining algorithms in Java?
A while ago, I had written a blog post about How to measure the memory usage of algorithms in Java. Today, I will discuss the topic of optimizing the memory usage of algorithms written in Java to design memory-efficient data mining algorithms. … Continue reading
Posted in Uncategorized
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