Toward a route detection method base on detail call records

Hadrien Hendrikx; Miguel Núñez-Del-Prado-Cortez

doi:10.1109/LA-CCI.2016.7885725

Toward a route detection method base on detail call records

Hadrien Hendrikx, Miguel Núñez-Del-Prado-Cortez

Universidad del Pacífico

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers' whereabouts. This location information allows computing geostatistics 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.

Idioma original	Inglés
Título de la publicación alojada	2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI)
Subtítulo de la publicación alojada	Conference proceedings 02 – 04 November 2016 Cartagena, Colombia
Editores	Cristian Rodríguez, Juan Bernardo Gómez
Lugar de publicación	Cartagena
Editorial	Institute of Electrical and Electronics Engineers Inc.
Número de páginas	6
DOI	https://doi.org/10.1109/LA-CCI.2016.7885725
Estado	Publicada - 23 mar. 2017

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10.1109/LA-CCI.2016.7885725

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Hendrikx, H., & Núñez-Del-Prado-Cortez, M. (2017). Toward a route detection method base on detail call records. En C. Rodríguez, & J. B. Gómez (Eds.), 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LA-CCI.2016.7885725

Hendrikx, Hadrien ; Núñez-Del-Prado-Cortez, Miguel. / Toward a route detection method base on detail call records. 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia. editor / Cristian Rodríguez ; Juan Bernardo Gómez. Cartagena : Institute of Electrical and Electronics Engineers Inc., 2017.

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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' whereabouts. This location information allows computing geostatistics 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.",

author = "Hadrien Hendrikx and Miguel N{\'u}{\~n}ez-Del-Prado-Cortez",

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Hendrikx, H & Núñez-Del-Prado-Cortez, M 2017, Toward a route detection method base on detail call records. En C Rodríguez & JB Gómez (eds.), 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia. Institute of Electrical and Electronics Engineers Inc., Cartagena. https://doi.org/10.1109/LA-CCI.2016.7885725

Toward a route detection method base on detail call records. / Hendrikx, Hadrien; Núñez-Del-Prado-Cortez, Miguel.
2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia. ed. / Cristian Rodríguez; Juan Bernardo Gómez. Cartagena: Institute of Electrical and Electronics Engineers Inc., 2017.

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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N2 - In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers' whereabouts. This location information allows computing geostatistics 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.

AB - In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers' whereabouts. This location information allows computing geostatistics 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.

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Hendrikx H, Núñez-Del-Prado-Cortez M. Toward a route detection method base on detail call records. En Rodríguez C, Gómez JB, editores, 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia. Cartagena: Institute of Electrical and Electronics Engineers Inc. 2017 doi: 10.1109/LA-CCI.2016.7885725

Toward a route detection method base on detail call records

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