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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorDuffany, Jeffrey
dc.contributor.authorJiménez Vargas, Wilfredo
dc.date.accessioned2020-07-03T17:01:59Z
dc.date.available2020-07-03T17:01:59Z
dc.date.issued2018
dc.identifier.citationJiménez Vargas, W. (2018). Data mining techniques for the integrated postsecondary data system [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/254
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractThe Process of generating the necessary information for the Integrated Postsecondary Data System can be tedious; a standard way to collect the information for the different departments is needed. To process it, we use data mining techniques to obtain consistent and replicable results that can be consumed by the end user for multiple criteria analysis. This often reveal patterns that shape the future organizational choices. Some data mining techniques and concepts used will be discussed in further detail on this paper. Key Terms  Data Mining, Database, Hypercube, Star Schema.en_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofComputer Science;
dc.relation.ispartofseriesWinter-2018;
dc.relation.haspartSan Juanen_US
dc.subject.lcshData mining
dc.subject.lcshPostsecondary education
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Posters
dc.titleData Mining Techniques for the Integrated Postsecondary Data Systemen_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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