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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
What are the milestones in the career of an academic researcher?
Today, I will talk about the different milestones that a researcher may meet during his career. I will start from the first stage, which is graduate studies until reaching the stage of being a permanent researcher working at a research institution … Continue reading
Funny pictures about data mining / machine learning
Today, I will share a few funny pictures related to data mining and machine learning that I have found online. These pictures comes from various sources (I don’t remember who created them). I will also perhaps add more later on that page Associations between … Continue reading
What happens after the PhD?
People will work several years to obtain a PhD, sometimes with the goal of becoming a researcher in academia or the industry, or a lecturer. Some think that getting a PhD is enough to become a successful researcher. But obtaining a … Continue reading
A Tribute to Hypercard
In this blog post, I will talk about the first programming language that I have learn, which is HyperTalk. Younger readers may have never heard about it, as it was mostly popular in the 1980s and 1990s. Though, it is not … Continue reading
A brief report about the IEA AIE 2019 conference
I have just arrived Austria to attend the IEA AIE 2019 conference ( 32nd Intern. Conf. on Industrial, Engineering and Other Applications of Applied Intelligent Systems), which is held in Graz from the 9th to 11th July. In this blog post, I will give a report about … Continue reading
Posted in artificial intelligence, Conference
Tagged artificial intelligence, conference, data mining, europe, ieaaie
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Correlation does not imply causation
There is a well known principle in statistics that correlation does not imply causation. It means that even if we observe that two variables behave in the same way, we should not conclude that the behavior of one of those variables … Continue reading
Posted in Big data, Data Mining, Data science
Tagged causation, correlation, data, data analysis, data mining, data science
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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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