2020-05-292020-05-292018-03-13978-1-941763-69-8http://hdl.handle.net/20.500.12272/4440This paper proposes the use of Data Warehousing and Data Mining techniques on performance, social, economic, demographic and cultural data from students who took “Algorithms and Data Structures”, which is a subject in the Information Systems Engineering curricula at UTN-FRRe (Resistencia, Chaco, Argentina), to establish generic academic performance profiles.application/pdfenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Atribución-NoComercial-CompartirIgual 4.0 Internacionalacademic performanceeducational data miningpredictive data mininghigher educationcourse assessmentstudent assessmentinfo:eu-repo/semantics/articleAcceso abierto