bandicoot: a Python Toolbox for Mobile Phone Metadata

de Montjoye, Yves-Alexandre;Rocher, Luc;Pentland, Alex Sandy
(2016) Journal of Machine Learning Research — Vol. 17, n° 175, p. 1-5 (2016)

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Authors
  • de Montjoye, Yves-AlexandreMIT Media Lab
    Author
  • Rocher, LucUCLouvain
    Author
  • Pentland, Alex SandyMIT Media Lab
    Author
Abstract
(en) bandicoot is an open-source Python toolbox to extract more than 1442 features from stan- dard 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.
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de Montjoye, Y.-A., Rocher, L., & Pentland, A. S. (2016). bandicoot: a Python Toolbox for Mobile Phone Metadata. Journal of Machine Learning Research, 17(175), 1-5. https://hdl.handle.net/2078.5/254759 (Original work published 2016)