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Recent Posts
- Brief report about the BIBM 2022 conference
- SPMF Upcoming feature: Graph viewer
- SPMF upcoming feature: Algorithm Explorer
- Brief report about IEEE ICDM 2022
- How to package SPMF as an EXE file with JPackage?
- New version of SPMF (2.58)
- Brief report about the MEDI 2022 conference
- Brieft report about the MIWAI 2022 conference
- How to change the language of Tableau Desktop from the registry?
- An integrated text editor in SPMF
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- Philippe Fournier-Viger on (videos) Introduction to sequential rule mining + the CMRules algorithm
- Brief report about the BIBM 2022 conference | The Data Mining Blog on An introduction to periodic pattern mining
- Brief report about the BIBM 2022 conference | The Data Mining Blog on An Introduction to Sequential Pattern Mining
- SPMF Upcoming feature: Graph viewer | The Data Mining Blog on An introduction to frequent subgraph mining
- Upcoming SPMF 2.55 + UDML 2022 + BDA 2022 | The Data Mining Blog on Brief report about IEEE ICDM 2022
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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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