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- Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code)
- New version of SPMF (2.44): 4 new algorithms, datasets and features
- An introduction to frequent subgraph mining (repost)
- Sequential pattern mining vs Sequence prediction ?
- Email invitation to be a “special” speaker, a scam?
- Two journal special issues with deadlines in 2021
- Atomic Habits to Become a Better Researcher
- The Hard Road to Success in Academia
- If I would do a PhD again, what would I do differently?
- Analyzing COVID-19 tweets to understand the public opinion
Recent Comments
- Philippe Fournier-Viger on Six important skills to become a succesful researcher
- Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code) | The Data Mining Blog on An Introduction to Sequential Rule Mining
- Analyzing the COVID-19 genome with AI and data mining techniques (PAPER + CODE + DATA) | The Data Mining Blog on An Introduction to Sequential Pattern Mining
- Irfan Nurhidayat on Six important skills to become a succesful researcher
- Lankarie Chamoda on Six important skills to become a succesful researcher
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Tag Archives: data analysis
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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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
Tagged data analysis, data mining, data science, open source, software, spmf
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