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Recent Posts
- 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
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- Upcoming in SPMF 2.64b : The “Pattern Diff Analyzer”
- A keynote speaker unable to manage time (180 slides!)
- A new version of SPMF (v2.64, november 2025)!
- GMP: A new algorithm for compressing protein sequences
- A new tool for visualizing algorithms from SPMF
- Fixing the reviewresponse.cls LaTeX Class to Allow Multi-Page Comments
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Author Archives: Philippe Fournier-Viger
On the correctness of the FSMS algorithm for frequent subgraph mining
In this blog post, I will explain why the FSMS algorithm for frequent subgraph mining is an incorrect algorithm. I will publish this blog post because I have found that the algorithm is incorrect after spending a few days to implement the algorithm in 2017 and wish to save time to other researchers … Continue reading
Posted in Big data, Data Mining, Pattern Mining
Tagged algorithm, correctness, data mining, pattern mining, subgraph mining
2 Comments
IEEE and its language polishing service
Many researchers are not native English speakers but need to write research papers in English, as it is the common language for sharing ideas with other researchers worldwide. Some papers are very well-written, others are not so well-written but are still readable, … Continue reading
Brief report about the WICON 2017 conference
This week-end, I have attended the WICON 2017 conference in Tianjin, China to present a research paper about the application of data mining to analyze data from water meters installed in the City of Moncton, Canada. In this post, I will give a brief overview of the WICON 2017 conference. About the conference This … Continue reading
Introduction to the Apriori algorithm (with Java code)
This blog post provides an introduction to the Apriori algorithm, a classic data mining algorithm for the problem of frequent itemset mining. Although Apriori was introduced in 1993, more than 20 years ago, Apriori remains one of the most important data mining algorithms, not because it is the fastest, but because it has … Continue reading
Posted in Big data, Data Mining, Pattern Mining, Programming
Tagged apriori, code, frequent itemset, frequent pattern, itemset, java, pattern mining
12 Comments
Do not link to impact factors, they will censor you!
On July 20 2017, I received an e-mail from a company called Clarivate Analytics Trademark Enforcement ( legal@ip-clarivateanalytics.com ) about copyright infringement for the Journal Citation Reports, a product by Thomson Reuters. They contact with me because a few years ago I have created a webpage that … Continue reading
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
4 Comments
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