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  4. bandicoot: an open-source Python toolbox to analyze mobile phone metadata
 
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bandicoot: an open-source Python toolbox to analyze mobile phone metadata
File(s)
15-593.pdf (1.25 MB)
Published version
OA Location
http://www.jmlr.org/papers/volume17/15-593/15-593.pdf
Author(s)
de Montjoye, YKJV
Rocher, L
Pentland, AS
Type
Journal Article
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 classification and clustering tasks. Emphasis is put on ease of use, consistency, and documentation. bandicoot has no dependencies and is distributed under MIT license
Date Issued
2016-10-01
Date Acceptance
2016-08-01
Citation
Journal of Machine Learning Research, 2016, 17
URI
http://hdl.handle.net/10044/1/48286
ISSN
1532-4435
Publisher
Journal of Machine Learning Research
Journal / Book Title
Journal of Machine Learning Research
Volume
17
Copyright Statement
© 2016 Yves-Alexandre de Montjoye, Luc Rocher, and Alex ‘Sandy’ Pentland.
Subjects
Artificial Intelligence & Image Processing
08 Information And Computing Sciences
17 Psychology And Cognitive Sciences
Publication Status
Published
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