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Forecast of operational data in electric energy plants using adaptive algorithm
(Corporación Universidad de la Costa, 2020)
Traditional time series methods offer models whose parameters remain constant over time. However, industrial supply and demand processes require timely decisions based on a dynamic reality. A change in configuration, turning ...
Algorithms for crime prediction in smart cities through data mining
(Corporación Universidad de la Costa, 2020)
The concentration of police resources in conflict zones contributes to the reduction of crime in the region and the optimization of those resources. This paper presents the use of regression techniques to predict the number ...
Selecting electrical billing attributes: big data preprocessing improvements
(Corporación Universidad de la Costa, 2020)
The attribute selection is a very relevant activity of data preprocessing when discovering knowledge on databases. Its main objective is to eliminate irrelevant and/or redundant attributes to obtain computationally treatable ...