Detecting unusual changes of users consumption

Título:

Detecting unusual changes of users consumption

Autor:

Britos, Paola Verónica

Colaboradores:

; Grosser, Hernán; Rodríguez, Dario; García Martinez, Ramón

Temas:

TELEFONÍA CELULARTELEFONÍA CELULARREDES NEURONALESSEGURIDAD INFORMÁTICA

En:

Artificial Intelligence in Theory and Practice II : IFIP 20th World Computer Congress, TC 12: IFIP AI 2008 Stream, September 7-10, 2008, Milano, Italy. Springer, 2008. (IFIP - The International Federation for Information Processing ; 276), pp 297-306

Resumen:

The points being approached in this paper are: the problem of detecting unusual changes of consumption in mobile phone users, the corresponding building of data structures which represent the recent and historic users' behavior bearing in mind the information included in a call, and the complexity of the construction of a function with so many variables where the parameterization is not always known.

URL/DOI:

http://dx.doi.org/10.1007/978-0-387-09695-7_29

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (267,9 KB)

Idioma:

Inglés

Publicación:

Springer, 2008

Puede solicitar más fácilmente el ejemplar con: A0288

Ver estantes