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Integration of data mining techniques to postgreSQL database manager system
(Procedia Computer Science, 2019)
Data mining is a technique that allows to obtain patterns or models from the gathered data. This technique is applied in all kind of environments such as in the biological field, educational and financial applications, ...
Database knowledge discovery In marketing companies
(Universidad de la Costa, 2019)
In recent years, technological development in both the computing and data transmission fields has allowed the storage and management of large volumes of data. Today, businesses move in highly competitive and continuous ...
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 ...
Data mining applied in school dropout prediction
(Journal of Physics: Conference Series, 2020)
In recent years, many studies have emerged about regarding the topic of school failure, showing a growing interest in determining the multiple factors that may influence it [1]. Most of the researches that attempt to solve ...
Unsupervised learning algorithms applied to grouping problems
(Corporación Universidad de la Costa, 2020)
One of the tasks of great interest within process mining is the discovery of business process models, which consists of using an event log as input and producing a business process model by analyzing the data contained in ...
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 ...