Red de Bibliotecas Virtuales de Ciencias Sociales en
América Latina y el Caribe
Por favor, use este identificador para citar o enlazar este ítem:
https://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/51803| Título : | DAZIO: detecting activity zones based on input/output call and SMS activity |
| Palabras clave : | Telecomunicaciones;Teléfonos celulares |
| Editorial : | Universidad del Pacífico. Centro de Investigación |
| Descripción : | Mobile telecoms operators possess an enormous quantity of data, which could be used to reduce the cost of installing new infrastructure, to provide a better QoS or to plan their infrastructure. Thus, they are concerned to model, understand and predict SMS and calls activity levels in their infrastructures. Besides, SMS and call activities analysis can open new business opportunities for geomarketing as well as trade area analysis. In the present effort, we detected activity zones with a difference of only 0.5 km from the reference activity areas extracted from Geo-tweets. We also used Markov chains to represent and predict SMS and call activity levels, achieving a prediction success rate between 80% and 90%. |
| URI : | http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/51803 |
| Otros identificadores : | http://hdl.handle.net/11354/1825 |
| Aparece en las colecciones: | Centro de Investigación - UP - CIUP - Cosecha |
Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.