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Detecting unusual changes of users consumption

Belongs to book: Artificial Intelligence in Theory and Practice II
Document type: Objeto de conferencia

Abstract

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.

General information

Exposure date: 2008
Issue date: 2008
Document language: English
Event: IFIP 20th World Computer Congress (Milano, Italy, September 7-10, 2008)
Origin: Facultad de Informática
Others identifiers: eid:2-s2.0-48949121033
ISBN: 978-0-387-09695-7
Pages: 297-306
xmlui.dri2xhtml.METS-1.0.item-dc-subject: User interface programming ; Mobile phones
Subjects: Ciencias Informáticas

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Created: 10 de octubre de 2019
Available since: 10 de octubre de 2019
Please, use one of this identificators(URI) for cite o linking this item:
  • http://sedici.unlp.edu.ar/handle/10915/83025
  • https://doi.org/10.1007/978-0-387-09695-7_29

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