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Dropout-permanence analysis of university students using data mining
(Universidad de la Costa, 2019)
Dropout is a rejection method present in every educational system,
related to the various selection processes, academic performance, and the efficiency of the system in general, that is, the result of the combination and ...
Demand in the electricity market: analysis using big data
(Universidad de la Costa, 2019)
The traditional business model of energy companies is changing in recent years. The introduction of smart meters has led to an exponential increase in the volume of data available, and their analysis can help find consumption ...
Optimization of flow shop scheduling through a hybrid genetic algorithm for manufacturing companies
(Universidad de la Costa, 2019)
A task scheduling problem is a process of assigning tasks to a limited set of resources available in a time interval, where certain criteria are optimized. In this way, the sequencing of tasks is directly associated with ...
Big data marketing during the period 2012–2019: a bibliometric review
(Universidad de la Costa, 2019)
The present study identifies the most significant trends in production of high impact scientific papers related to the Big Data Marketing variable during the period between the years 2012 and 2019 through a revision of the ...