Detecting unusual changes of users consumption
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Item type | Home library | Collection | Call number | URL | Status | Date due | Barcode | |
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Biblioteca de la Facultad de Informática | Biblioteca digital | A0288 (Browse shelf(Opens below)) | Link to resource | No corresponde |
Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
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.
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