Bandicoot: A python toolbox for mobile phone metadata

Author(s)
Rocher, Luc; de Montjoye, Yves-Alexandre; Pentland, Alex Paul
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Abstract
bandicoot is an open-source Python toolbox to extract more than 1442 features from standard mobile phone metadata. bandicoot makes it easy for machine learning researchers and practitioners to load mobile phone data, to analyze and visualize them, and to extract robust features which can be used for various classiffication and clustering tasks. Emphasis is put on ease of use, consistency, and documentation. bandicoot has no dependencies and is distributed under MIT license. 2016 Yves-Alexandre de Montjoye, Luc Rocher, and Alex 'Sandy' Pentland. Keywords: Python, feature engineering, mobile phone metadata, CDR, visualization
Date issued
2016-10
URI
http://hdl.handle.net/1721.1/115988
Department
Massachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Journal
Journal of Machine Learning Research
Publisher
JMLR, Inc.
Citation
de Montjoye, Yves-Alexandre, Luc Rocher, and Alex Sandy Pentland. "Bandicoot: a Python Toolbox for Mobile Phone Metadata." Journal of Machine Learning Research, 17, 2016, pp. 1-5. © 2016 Yves-Alexandre de Montjoye, Luc Rocher, and Alex ‘Sandy’ Pentland
Version: Final published version
ISSN
1532-4435
1533-7928
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