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Recent Posts
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- Improved user interface in SPMF v.2.66 (part 2)
- Improved user interface in SPMF 2.66
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Author Archives: Philippe Fournier-Viger
Too many machine learning papers?
A few days ago, I have read a post on LinkedIn showing that the number of Machine Learning (ML) papers has been increasing very quickly over the last few years to about 100 ML papers per day (on Arxiv, a popular public repository … Continue reading
Posted in Academia, artificial intelligence
Tagged artificial intelligence, machine learning, Research
2 Comments
Unethical reviewers in academia
In this blog post, I will discuss about the importance of an ethical review process in academia, and the problem of unethical reviewers. I will share some stories about some unethical reviewers in journals and conferences. Peer review in academia The process of peer review in academia … Continue reading
China International BigData Industry Expo 2019 (a brief report)
This week I am attending the 2019 China International Big Data Industry Expo (CIBD 2019), held in Guiyang, China. I will report on the event on this blog. The event is from May 26-29. Why this event is important? The China International Big Data Industry Expo is … Continue reading
Posted in Big data, Conference
Tagged big data, big data expo, china, conference, guiyang, industry expo
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The review speed of academic journals
Today, I will talk about the review speed of academic journals. Review speed is an important criterion for selecting a journal to submit a paper when researchers face time constraints. For example, it is common that some students need to publish a paper quickly … Continue reading
Posted in Academia, artificial intelligence, Data Mining, Research
Tagged academic journal, journal, peer-review, review
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MLDM 2019… still not in New York! …and not published by Springer!
A few years ago, I decided to give a try at the MLDM 2016 conference, which I had never attended. It was not a bad conference, although quite small and the registration is quite expensive for a conference (about 650 euros). I submitted … Continue reading
(video) Mining Frequent Itemsets with the Apriori algorithm
This is a video presentation of the Apriori algorithm for discovering frequent itemsets in data. Frequent itemset mining is one of the most popular data mining task. VIDEO LINK: https://www.philippe-fournier-viger.com/spmf/videos/apriori.mp4 The Java source code of the Apriori algorithm and datasets for evaluating its performance are available in the SPMF software. If you want … Continue reading
Posted in Data Mining, Data science, Pattern Mining, Video
Tagged algorithm, apriori, big data, data mining, data science, frequent pattern mining, frequent patterns, video
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The PAKDD 2019 conference (a brief report)
This year, I am attending the PAKDD 2019 conference (23rd Pacific Asia Conference on Knowledge Discovery and Data Mining), in Macau, China, from the 14th to the 17th April 2019. In this blog post, I will provide information about the conference. About the PAKDD conference PAKDD is one of the most important … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged asia, big data, conference, data mining, pakdd
4 Comments
The 7th China International Technology Expo – CITE 2019 (a brief report)
This week, I have attended the 7th China International Technology Expo (CITE 2019), which was held at the Shenzhen Convention and Exhibition Center in the city of Shenzhen, China from the 9th to the 11th April 2019. In this blog post, I will give a brief overview of this fair, where various companies were showing … Continue reading
The best data mining mailing lists (for researchers)
Today, I will list a few useful mailing lists related to data mining and big data. Subscribing to these mailing list is useful for PhD students and researchers, as many jobs, conferences, special issues and other opportunities are advertised on these mailing lists. It is … Continue reading
Posted in Big data, Data Mining, Data science
Tagged big data, data, data mining, data science, machine learning, mailing list, Research
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Analyzing the source code of SPMF (5 years later)
Five years ago, I had analyzed the source code of the SPMF data mining software using an open-source tool called CodeAnalyzer ( http://sourceforge.net/projects/codeanalyze-gpl/ ). This had provided some interesting insights about the structure of the project, especially in terms of lines of codes and code to … Continue reading
Posted in Data Mining, Data science, open-source, spmf
Tagged data analysis, data mining, data science, open source, software, spmf
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