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.
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© 2008 International Federation for Information Processing
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Britos, P., Grosser, H., Rodríguez, D., Garcia-Martinez, R. (2008). Detecting Unusual Changes of Users Consumption. In: Bramer, M. (eds) Artificial Intelligence in Theory and Practice II. IFIP AI 2008. IFIP – The International Federation for Information Processing, vol 276. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09695-7_29
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DOI: https://doi.org/10.1007/978-0-387-09695-7_29
Publisher Name: Springer, Boston, MA
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