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Tanagra is a free suite of machine learning software for research and academic purposes developed by Ricco Rakotomalala at the Lumière University Lyon 2, France. Tanagra supports several standard data mining tasks such as: Visualization, Descriptive statistics, Instance selection, feature selection, feature construction, regression, factor analysis, clustering, classification and association rule learning. Tanagra is an academic project. It is widely used in the French speaking Universities.〔G. Gregoire, F.X. Jollois, J.F. Petiot, A. Qannari, S. Sabourin, P. Swertwaegher, J.C. Turlot, V. Vandewalle, S. Viguier-Pla, “(Software and statistics teaching in STID department of IUT )”, in Statistique et Enseignement, 2(2), 5-24, 2011.〕 Tanagra is frequently used in real studies〔S.G. Jacob and R.G. Ramani, “(Evolving Efficient Clustering and Classification Patterns in Lymphography Data through Data Mining Techniques )”, in International Journal on Soft Computing (IJSC), 3(3), 119-132, 2012.〕〔E. Kirkos, C. Spathis, A. Nanopoulos, Y. Manolopoulos, “(Identifying Qualified Auditor's Opinions: A Data Mining Approach )”, in Journal of Emerging Technologies in Accouting, 4(1), 183-197, 2007.〕 and in the software comparison papers.〔R.M. Rahman and F. Afroz, “(Comparison of Various Classification Techniques Using Different Data Mining Tools for Diabete Diagnosis )”, in Journal of Software Engineering and Applications, 6, 85-97, 2013.〕〔H. Solanki “(Comparative Study of Data Mining Tools and Analysis with Unified Data Mining Theory )”, in International Journal of Computer Applications, 75(16), 23-28, 2013.〕 ==History== The development of Tanagra was started in June 2003. The first version is distributed in December 2003. Tanagra is the successor of Sipina, another free data mining tool which is intended only for the supervised learning tasks (classification), especially an interactive and visual construction of decision trees. Sipina is still available online and is maintained. 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. The main purpose of Tanagra project is to give researchers and students a user-friendly data mining software, conforming to the present norms of the software development in this domain (especially in the design of its GUI and the way to use it), and allowing to analyze either real or synthetic data. From 2006, Ricco Rakotomalala made an important documentation effort. A large number of tutorials are published on a dedicated website. They describe the statistical and machine learning methods and their implementation with Tanagra on real case studies. The use of the other free data mining tools on the same problems is also widely described. The comparison of the tools enables to the readers to understand the possible differences in the presenting of results. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Tanagra (machine learning)」の詳細全文を読む スポンサード リンク
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