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Comparación de algoritmos para clustering de "streams" de series de tiempo
In recent years, technological advances have resulted in a huge increment in data production as in the evolution of methods that facilitated its collection. The data that arrive continuously and massively with infinite ...
Temporal outlier detection using dynamic Bayesian networks and probabilistic association rules
Temporal datasets provide records of the evolution and dependencies of random variables over time. Recently, there has been an increase in the application of temporal datasets in areas such as intrusion detection, fraud ...