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info.json
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/
info.json
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{
"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.",
"authors": [
"Janez Dem{\\v{s}}ar",
"Toma{\\v{z}} Curk",
"Ale{\\v{s}} Erjavec",
"{\\v{C}}rt Gorup",
"Toma{\\v{z}} Ho{\\v{c}}evar",
"Mitar Milutinovi{\\v{c}}",
"Martin Mo{\\v{z}}ina",
"Matija Polajnar",
"Marko Toplak",
"An{\\v{z}}e Stari{\\v{c}}",
"Miha {\\v{S}}tajdohar",
"Lan Umek",
"Lan {\\v{Z}}agar",
"Jure {\\v{Z}}bontar",
"Marinka {\\v{Z}}itnik",
"Bla{\\v{z}} Zupan"
],
"id": "demsar13a",
"issue": 71,
"pages": [
2349,
2353
],
"title": "Orange: Data Mining Toolbox in Python",
"volume": 14,
"year": 2013,
"special_issue": "MLOSS",
"extra_links": [["code", "https://github.com/biolab/orange3"]]
}