Orange: Data Mining Toolbox in Python.pdf 63.40kB
Type: Paper
Tags:

Metadata:
@article{14:72,author={Janez Demar and Toma Curk and Ale Erjavec and rt Gorup and Toma Hoevar and Mitar Milutinovi and Martin Moina and Matija Polajnar and Marko Toplak and Ane Stari and Miha tajdohar and Lan Umek and Lan agar and Jure bontar and Marinka itnik and Bla Zupan}, Title={Orange: Data Mining Toolbox in Python},journal={Journal of Machine Learning Research},volume={14}, url={http://jmlr.org/papers/volume14/demsar13a/demsar13a.pdf}}
Citation:
Demar, J., Curk, T., Erjavec, A., Gorup, R., Hoevar, T., Milutinovi, M., Moina, M., Polajnar, M., Toplak, M., Stari, A., tajdohar, M., Umek, L., agar, L., bontar, J., itnik, M., & Zupan, B.. (2014). Orange: Data Mining Toolbox in Python [Data set]. Academic Torrents. https://academictorrents.com/details/78e7fe1bb1b432f24c4e0226a25d02c2a8ca60c2
No stats to report yet.

Send Feedback Start
   0.000007
DB Connect
   0.000472
Lookup hash in DB
   0.000429
Get torrent details
   0.000128
Get torrent details, finished
   0.000237
Get authors
   0.000001
Select authors
   0.000220
Parse bibtex
   0.000131
Write header
   0.000265
get stars
   0.000103
home tab
   0.000116
render right panel
   0.000005
render ads
   0.000455
fetch current hosters
   0.000299
Start get stats
   0.000355
End get stats
   0.000001
related datasets
   0.002701
Done