JMLR 2016
bandicoot: a Python Toolbox for Mobile Phone Metadata
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 ] © 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