| dc.contributor.author | Rocher, Luc | |
| dc.contributor.author | de Montjoye, Yves-Alexandre | |
| dc.contributor.author | Pentland, Alex Paul | |
| dc.date.accessioned | 2018-05-30T18:25:11Z | |
| dc.date.available | 2018-05-30T18:25:11Z | |
| dc.date.issued | 2016-10 | |
| dc.date.submitted | 2016-08 | |
| dc.identifier.issn | 1532-4435 | |
| dc.identifier.issn | 1533-7928 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/115988 | |
| dc.description.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 | en_US |
| dc.publisher | JMLR, Inc. | en_US |
| dc.relation.isversionof | http://www.jmlr.org/papers/v17/15-593.html | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | Journal of Machine Learning Research | en_US |
| dc.title | Bandicoot: A python toolbox for mobile phone metadata | en_US |
| dc.type | Article | en_US |
| dc.identifier.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 | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | en_US |
| dc.contributor.department | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
| dc.contributor.mitauthor | de Montjoye, Yves-Alexandre | |
| dc.contributor.mitauthor | Pentland, Alex Paul | |
| dc.relation.journal | Journal of Machine Learning Research | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2018-02-23T15:41:49Z | |
| dspace.orderedauthors | de Montjoye, Yves-Alexandre; Rocher, Luc; Pentland, Alex 'Sandy' | en_US |
| dspace.embargo.terms | N | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0001-9086-589X | |
| dc.identifier.orcid | https://orcid.org/0000-0002-8053-9983 | |
| mit.license | PUBLISHER_POLICY | en_US |
