Orange: Data Mining Toolbox in Python']Python

被引：0

作者：

Demsar, Janez ^{[1
]}

Curk, Tomaz ^{[1
]}

Erjavec, Ales ^{[1
]}

Gorup, Crt ^{[1
]}

Hocevar, Tomaz ^{[1
]}

Milutinovic, Mitar ^{[1
]}

Mozina, Martin ^{[1
]}

Polajnar, Matija ^{[1
]}

Toplak, Marko ^{[1
]}

Staric, Anze ^{[1
]}

Stajdohar, Miha ^{[1
]}

Umek, Lan ^{[1
]}

Zagar, Lan ^{[1
]}

Zbontar, Jure ^{[1
]}

Zitnik, Marinka ^{[1
]}

Zupan, Blaz ^{[1
]}

机构：

[1] Univ Ljubljana, Fac Comp & Informat Sci, SI-1000 Ljubljana, Slovenia

来源：

JOURNAL OF MACHINE LEARNING RESEARCH | 2013年 / 14卷

关键词：

!text type='Python']Python[!/text; data mining; machine learning; toolbox; scripting;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2349 / 2353

页数：5

共 50 条

[1] Orange: Data mining toolbox in python
Demšar, Janez
Curk, Tomaz
Erjavec, Aleš
Gorup, Črt
Hočevar, Tomaz
Milutinovič, Mitar
Mozina, Martin
Polajnar, Matija
Toplak, Marko
Starič, Anze
Štajdohar, Miha
Umek, Lan
Zagar, Lan
Zbontar, Jure
Zitnik, Marinka
Zupan, Blaz
[J]. Journal of Machine Learning Research, 2013, 14 : 2349 - 2353
[2] The Lompe code: A Python']Python toolbox for ionospheric data analysis
Hovland, A. O.
Laundal, K. M.
Reistad, J. P.
Hatch, S. M.
Walker, S. J.
Madelaire, M.
Ohma, A.
[J]. FRONTIERS IN ASTRONOMY AND SPACE SCIENCES, 2022, 9
[3] PyPore: a python']python toolbox for nanopore sequencing data handling
Semeraro, Roberto
Magi, Alberto
[J]. BIOINFORMATICS, 2019, 35 (21) : 4445 - 4447
[4] GuPPy, a Python']Python toolbox for the analysis of fiber photometry data
Sherathiya, Venus N.
Schaid, Michael D.
Seiler, Jillian L.
Lopez, Gabriela C.
Lerner, Talia N.
[J]. SCIENTIFIC REPORTS, 2021, 11 (01)
[5] GliderTools: A Python']Python Toolbox for Processing Underwater Glider Data
Gregor, Luke
Ryan-Keogh, Thomas J.
Nicholson, Sarah-Anne
du Plessis, Marcel
Giddy, Isabelle
Swart, Sebastiaan
[J]. FRONTIERS IN MARINE SCIENCE, 2019, 6
[6] MTpy: A Python']Python toolbox for magnetotellurics
Krieger, Lars
Peacock, Jared R.
[J]. COMPUTERS & GEOSCIENCES, 2014, 72 : 167 - 175
[7] ObsPy: A Python']Python Toolbox for Seismology
Beyreuther, Moritz
Barsch, Robert
Krischer, Lion
Megies, Tobias
Behr, Yannik
Wassermann, Joachim
[J]. SEISMOLOGICAL RESEARCH LETTERS, 2010, 81 (03) : 530 - 533
[8] Pyo, the Python']Python DSP toolbox
Belanger, Olivier
[J]. MM'16: PROCEEDINGS OF THE 2016 ACM MULTIMEDIA CONFERENCE, 2016, : 1214 - 1217
[9] PyMVPA: a Python']Python Toolbox for Multivariate Pattern Analysis of fMRI Data
Hanke, Michael
Halchenko, Yaroslav O.
Sederberg, Per B.
Hanson, Stephen Jose
Haxby, James V.
Pollmann, Stefan
[J]. NEUROINFORMATICS, 2009, 7 (01) : 37 - 53
[10] PyCoTools: a Python']Python toolbox for COPASI
Welsh, Ciaran M.
Fullard, Nicola
Proctor, Carole J.
Martinez-Guimera, Alvaro
Isfort, Robert J.
Bascom, Charles C.
Tasseff, Ryan
Przyborski, Stefan A.
Shanley, Daryl P.
[J]. BIOINFORMATICS, 2018, 34 (21) : 3702 - 3710

← 1 2 3 4 5 →