Data mining toolbox in python
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| Title: | Data mining toolbox in python |
|---|---|
| Authors: | Tomaz ̌ Curk, Ales ̌ Erjavec, Matija Polajnar, Marko Toplak, Lan Umek, Blaz ̌ Zupan |
| Contributors: | The Pennsylvania State University CiteSeerX Archives |
| Source: | http://jmlr.csail.mit.edu/papers/volume14/demsar13a/demsar13a.pdf. |
| Publication Year: | 2013 |
| Collection: | CiteSeerX |
| Subject Terms: | Python, data mining, machine learning, toolbox, scripting |
| Description: | 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. |
| Document Type: | text |
| File Description: | application/pdf |
| Language: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.2849; http://jmlr.csail.mit.edu/papers/volume14/demsar13a/demsar13a.pdf |
| Availability: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.2849 http://jmlr.csail.mit.edu/papers/volume14/demsar13a/demsar13a.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Accession Number: | edsbas.8EB7796A |
| Database: | BASE |
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