TANAGRA is a free DATA MINING software for academic and research purposes. It proposes several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area.
This project is the successor of SIPINA which implements various supervised learning algorithms, especially an interactive and visual construction of decision trees. TANAGRA is more powerful, it contains some supervised learning but also other paradigms such as clustering, factorial analysis, parametric and nonparametric statistics, association rule, feature selection and construction algorithms...
TANAGRA is an "open source project" as every researcher can access to the source code, and add his own algorithms, as far as he agrees and conforms to the software distribution license.
Access the Software
A tutorial on a blog about using Tangara
This Web log maintains an alternative layout of the tutorials about Tanagra. Each entry describes shortly the subject, it is followed by the link to the tutorial (pdf) and the dataset. The technical references (book, papers, website,...) are also provided. In some tutorials, we compare the results of Tanagra with other free software such as Knime, Orange, R software, RapidMiner (Yale), Sipina or Weka.