Janez Demšar and Tomaž Curk and Aleš Erjavec and Črtomir Gorup and Tomaž Hočevar and Mitar Milutinović and Martin Možina and Matija Polajnar and Marko Toplak and Anže Starič and Miha Štajdohar and Lan Umek and Lan Žagar and Jure Žbontar and Marinka Žitnik and Blaz Zupan (2013) Orange: data mining toolbox in Python. Journal of Machine Learning Research, 14 . pp. 2349-2353.
Abstract
Orange is a machine learning and data mining suite for data analysis through Python scripting and visual programming. Here we report on the scripting part, which features interactive data analysis and component-based assembly of data mining procedures. In the selection and design of components, we focus on the flexibility of their reuse: our principal intention is to let the user write simple and clear scripts in Python, which build upon C++ implementations of computationally-intensive tasks. Orange is intended both for experienced users and programmers, as well as for students of data mining.
| Item Type: | Article |
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| Related URLs: | |
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| Institution: | University of Ljubljana |
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| Department: | Faculty of Computer and Information Science |
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| Divisions: | Faculty of Computer and Information Science > Bioinformatics Laboratory |
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| Item ID: | 2267 |
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| Date Deposited: | 24 Oct 2013 04:33 |
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| Last Modified: | 02 Dec 2013 12:44 |
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| URI: | http://eprints.fri.uni-lj.si/id/eprint/2267 |
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