Autores
Guzmán Arenas Adolfo
Noguerón González Claudia
Título Generation of interesting knowledge using data mining: a user-oriented approach
Tipo Revista
Sub-tipo Indefinido
Descripción Polish Journal of Environmental Studies
Resumen Nowadays, the ongoing need to digest and understand enormous volumes of information is crucial for decision-making in economics, politics and science. One of the main issues associated to the large quantity of stored information is extract an interesting knowledge to specific purposes. One of the important problems that are used by data mining community is so-called classification of the information. In this paper, we propose four generic criteria to extract an interesting knowledge filter the information of a huge volume of databases. We use data mining techniques to accomplish the process to extract interesting knowledge based on user profiles.
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Lugar
País
No. de páginas 116-123
Vol. / Cap. 17
Inicio 2008-01-01
Fin
ISBN/ISSN