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Recent Posts
- An algorithm for Periodic Frequent Pattern Mining in Uncertain Databases (PPFP-Growth)
- SPMF v.2.67 is released! (major update)
- Upcoming feature of SPMF 2.67: explicit input and output file types
- CFP: Special issue on Energy-aware Artificial Intelligence
- Performance of Java vs Python for Sequential Pattern Mining (CM-SPAM)
- SPMF v2.66 is released
- 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
Recent Comments
- Olivia Chen on How to draw subgraphs side-by-side in Latex? (with TIKZ)
- Philippe Fournier-Viger on How to become a well-known researcher?
- SILAS MAZIKU KWIZIGIZYA on How to become a well-known researcher?
- Liev on About the author
- me on Unusual Web traffic and end of the forum.
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Author Archives: Philippe Fournier-Viger
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
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
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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