@techreport{671a5fced0b44304bdef96a48ede8c4a,
title = "Toward a route detection method base on detail call records",
abstract = "In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers{\textquoteright} whereabouts. This location information allows computing eostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the present effort, we propose a method to extract automatically routes from CDR data relying on clustering and community detection algorithms.",
keywords = "APPs, An{\'a}lisis cluster, Tel{\'e}fonos inteligentes, APPs, An{\'a}lisis cluster, Tel{\'e}fonos inteligentes",
author = "{Nu{\~n}ez del Prado Cort{\'e}z}, Miguel and Hadrien Hendrikx",
year = "2016",
language = "English",
series = "Documento de discusi{\'o}n CIUP",
publisher = "Universidad del Pac{\'i}fico. Centro de Investigaci{\'o}n",
number = "DD1619",
type = "WorkingPaper",
institution = "Universidad del Pac{\'i}fico. Centro de Investigaci{\'o}n",
}