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dc.date.accessioned 2019-10-10T13:54:39Z
dc.date.available 2019-10-10T13:54:39Z
dc.date.issued 2008
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/83025
dc.description.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. en
dc.format.extent 297-306 es
dc.language en es
dc.subject User interface programming es
dc.subject Mobile phones es
dc.title Detecting unusual changes of users consumption en
dc.type Objeto de conferencia es
sedici.identifier.other doi:10.1007/978-0-387-09695-7_29 es
sedici.identifier.other eid:2-s2.0-48949121033 es
sedici.identifier.isbn 978-0-387-09695-7 es
sedici.creator.person Britos, Paola Verónica es
sedici.creator.person Grosser, Hernán es
sedici.creator.person Rodríguez, Darío es
sedici.creator.person García Martínez, Ramón es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2008
sedici.relation.event IFIP 20th World Computer Congress (Milano, Italy, September 7-10, 2008) es
sedici.description.peerReview peer-review es
sedici.relation.bookTitle Artificial Intelligence in Theory and Practice II es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)