Abstract
Our work focuses on: 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' behaviour 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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Grosser, H., Britos, P., & García-Martínez, R. (2005). Detecting fraud in mobile telephony using neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 613–615). Springer Verlag. https://doi.org/10.1007/11504894_85
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