Now showing items 1-5 of 5
Analyzing and predicting power consumption profiles using big data
(Communications in Computer and Information Science, 2019)
The Euclidean distance (ED), the mean absolute error (MAE), the mean absolute percentage error (MAPE) and the root of the mean quadratic error (RMQE) are used to evaluate the predictive capability of the models supported ...
Demand forecasting method using artificial neural networks
(Universidad de la Costa, 2019)
Based on a forecast, the decision maker can determine the capacity required to meet a certain forecast demand, as well as carry out in advance the balance of capacities in order to avoid underusing or bottlenecks. This ...
Using Big Data to determine potential dropouts in higher education
(Journal of Physics: Conference Series, 2020)
In higher education, student dropout is a relevant problem, not just in Latin America but also in developed countries. Although there is no consensus to measure the education quality, one of the important indicators of ...
Integration of data technology for analyzing university dropout
(Procedia Computer Science, 2019-08-19)
Dropout, defined as the abandonment of a career before obtaining the corresponding degree, considering a significant time period to rule out the possibility of return. Higher education students´ dropout generates several ...
Data processing for direct marketing through Big Data
(Universidad de la Costa, 2020-01-07)
Traditional marketing performs promotion through various channels such as news in newspapers, radio, etc., but those promotions are aimed at all people, whether or not interested in the product or service being promoted. ...