This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...
Jorge Ferreira, Marley B. R. Vellasco, Marco Aur&e...
This paper describes a validation approach of a socio-technical design support system using data mining techniques. Bayesian Belief Networks (BBN) are used to assess human error an...
Andreas Gregoriades, Alistair G. Sutcliffe, Harala...
In large telecommunication networks, alarms are usually useful for identifying faults and, therefore solving them. However, for large systems the number of alarms produced is so la...
This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...
Abstract--Pocket Data Mining PDM is our new term describing collaborative mining of streaming data in mobile and distributed computing environments. With sheer amounts of data stre...
Frederic T. Stahl, Mohamed Medhat Gaber, Max Brame...