COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE
Volumen: 798, Numero: 1, Páginas:  p.
At institutions of higher education, data is generated daily. This massive amount of information is stored in different repositories, and it is increasingly difficult to locate specific data on which decisions can be made because universities are unaware of processes that allow for the extraction of valuable and reliable information. In this paper, we present a methodology that includes the Knowledge Discovery in Databases (KDD) coupled with the HEFESTO version 2.0 methodology for the construction of Data Warehouses and the use of Data Mining (DM) techniques. By implementing the proposed methodology, problems stemming from a lack of information relating to student placement and admissions in the UNAE and New Student Orientation (NSO) departments at the Polytechnic School of Chimborazo (ESPOCH) may be resolved. To accomplish this established goal, a Data Warehouse (DW) was implemented based on the requirements of the UNAE to find reliable information through cleaning and data integration techniques while respecting the Extraction, Transformation, and Load (ETL) process. In addition, several methods of DM were analyzed, culminating in the discovery of the pertinent information to ascertain the classification of students by areas of study, gender analysis, as well as to know the projection of the number of students who will commence university careers offered by ESPOCH in upcoming years.