Difference between revisions of "Veterinary epidemiology: data mining software"
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Data mining is a relatively new technique for the analysis of very large datasets. A number of programs for data mining are available: | Data mining is a relatively new technique for the analysis of very large datasets. A number of programs for data mining are available: | ||
− | '''KNIME''' ''(A user friendly data mining package for data integration, processing, analysis and exploration)'' http://www.knime.org/ | + | * '''KNIME''' ''(A user friendly data mining package for data integration, processing, analysis and exploration)'' http://www.knime.org/ |
− | '''RapidMiner''' ''(Incorporates data integration, analysis and reporting in one program suite)'' http://rapid-i.com/content/view/181/190/ | + | * '''RapidMiner''' ''(Incorporates data integration, analysis and reporting in one program suite)'' http://rapid-i.com/content/view/181/190/ |
− | '''Tanagra''' ''(Uses several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area)'' http://chirouble.univ-lyon2.fr/~ricco/tanagra/en/tanagra.html | + | * '''Tanagra''' ''(Uses several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area)'' http://chirouble.univ-lyon2.fr/~ricco/tanagra/en/tanagra.html |
[[Category:Veterinary Epidemiology - Software |L]] | [[Category:Veterinary Epidemiology - Software |L]] |
Latest revision as of 22:31, 9 January 2012
Data mining is a relatively new technique for the analysis of very large datasets. A number of programs for data mining are available:
- KNIME (A user friendly data mining package for data integration, processing, analysis and exploration) http://www.knime.org/
- RapidMiner (Incorporates data integration, analysis and reporting in one program suite) http://rapid-i.com/content/view/181/190/
- Tanagra (Uses several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area) http://chirouble.univ-lyon2.fr/~ricco/tanagra/en/tanagra.html