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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
- A prototype of an improved GUI for the SPMF pattern mining software
- 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
Writing a research paper (1) – keeping it simple
Today, I will give some advice about how to write research papers. This will be the first post of a series of posts on this topic. In this post, I will focus on one aspect, which is to use simple structures and expressions to present the … Continue reading
Why attending academic conferences is important?
In this blog post, I will talk about the importance of attending academic conferences for researchers. I will answer two important questions: Why it is important to attend conference? and What one should do at an academic conference to get the most benefits? Academic conferences Academic conferences are meetings attended by researchers mostly from academia,. … Continue reading
Posted in Academia, Research
Tagged academia, academic conference, conference, Research, researcher
1 Comment
PAKDD 2018 Conference (a brief report)
In this blog post, I will discuss the PAKDD 2018 conference (Pacific Asia Conference on Knowledge Discovery and Data Mining), in Melbourne Australia, from the 3rd June to the 6th June 2018. About the PAKDD conference PAKDD is an important conference in the data science / data mining research community, mainly attended by researchers from … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged asia, australia, big data, conference, data mining, pakdd
2 Comments
China International BigData Industry Expo 2018 (a brief report)
This week I have attended the China International Big Data Industry Expo 2018 in Guiyang, China. I will describe this event and some of the key things that I have observed so far. What is the China International Big Data Industry Expo? It is an international event targeted toward the industry and focused on big data, which is aimed … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged big data, china, expo, industry
2 Comments
The Semantic Web and why it failed.
In this blog post, I will talk about the vision of the Semantic Web that was proposed in the years 2000s, and why it failed. Then, I will talk about how it has been replaced today by the use of data mining and machine learning techniques. What is the Semantic Web? … Continue reading
Posted in Academia, Research
Tagged failure, ontologies, ontology, semantic web, web, www
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How to run SPMF without installing Java?
The SPMF data mining software is a popular open-source software for discovering patterns in data and for performing other data mining tasks. Typically, to run SPMF, Java must have been installed on a computer. However, it is possible to run SPMF on a computer that does not have Java installed. For example, … Continue reading
Posted in Data Mining, Data science, open-source, Pattern Mining, Research, spmf
Tagged data mining, pattern mining, software, spmf
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How to compare two LaTeX documents? (using LatexDiff)
Many researchers are using Latex to write research papers instead of using Microsoft Word. I previously wrote a blog post about the reasons for using Latex to write research papers. Today, I will go in more details about Latex and talk about a nice tool for comparing two Latex files to see the differences. The goal … Continue reading
Subgraph mining datasets
In this post, I will provide links to standard benchmark datasets that can be used for frequent subgraph mining. Moreover, I will provide a set of small graph datasets that can be used for debugging subgraph mining algorithms. The format of graph datasets A graph dataset is a text … Continue reading
Posted in Big data, Data Mining
Tagged data mining, dataset, frequent subgraph, graph, subgraph
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On the Completeness of the CloSpan and IncSpan algorithms
In this blog post, I will briefly discuss the fact that the popular CloSpan algorithm for frequent sequential pattern mining is an incomplete algorithm. This means that in some special situations, CloSpan does not produce the expected results that it has been designed for, and in particular some patterns are … Continue reading
Posted in Data Mining, Pattern Mining
Tagged clospan, frequent pattern, incspan, pattern mining, sequential pattern
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10 ways of becoming more efficient at doing research
Today, I will discuss 10 ways of becoming more efficient at doing research. This is an important topic for any researcher who wishes to be more productive in terms of research. For example, one may want to be able to publish … Continue reading