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JMLR 2016

bandicoot: a Python Toolbox for Mobile Phone Metadata

Journal Article Articles Artificial Intelligence ยท Machine Learning

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. [abs] [ pdf ][ bib ] &copy JMLR 2016. ( edit, beta )

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Context

Venue
Journal of Machine Learning Research
Archive span
2000-2026
Indexed papers
4180
Paper id
218046205970114728
v2026.09.13