Comparison of Feature Extraction Methods and Predictors for Income Inference
Abstract—Patterns of mobile phone communications, coupled with the information of the social network graph and financial behavior, allow us to make inferences of users’ socio-economic attributes such as their income level. We present here several methods to extract features from mobile phone usage (...
Guardado en:
| Autores principales: | Fixman, Martín, Minnoni, Martín, Sarraute, Carlos |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2017
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/63174 http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/AGRANDA/AGRANDA-06.pdf |
| Aporte de: |
Ejemplares similares
-
Tagging Click-Spamming Suspicious Installs in Mobile Advertising Through Time Delta Distributions
por: Monasterio, Juan de
Publicado: (2017) -
Social Events in a Time-Varying Mobile Phone Graph
por: Sarraute, Carlos, et al.
Publicado: (2015) -
DAZIO: detecting activity zones based on input/output call and SMS activity
por: Núñez del Prado, Miguel, et al.
Publicado: (2016) -
Publicidad móvil: estudio de prefactibilidad para el desarrollo de un nuevo modelo de negocios en la Argentina
por: Izzo, Agustín
Publicado: (2017) -
Adding mobile
por: Berardi, Martín Sebastián
Publicado: (2017)