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Data Mining Techniques for the Integrated Postsecondary Data System
dc.rights.license | All rights reserved | en_US |
dc.contributor.advisor | Duffany, Jeffrey | |
dc.contributor.author | Jiménez Vargas, Wilfredo | |
dc.date.accessioned | 2020-07-03T17:01:59Z | |
dc.date.available | 2020-07-03T17:01:59Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Jiménez 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 Data mining techniques for the integrated postsecondary data system [Unpublished manuscript].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.uri | http://hdl.handle.net/20.500.12475/254 | |
dc.description | Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico | en_US |
dc.description.abstract | The 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.iso | en_US | en_US |
dc.publisher | Polytechnic University of Puerto Rico | en_US |
dc.relation.ispartof | Computer Science; | |
dc.relation.ispartofseries | Winter-2018; | |
dc.relation.haspart | San Juan | en_US |
dc.subject.lcsh | Data mining | |
dc.subject.lcsh | Postsecondary education | |
dc.subject.lcsh | Polytechnic University of Puerto Rico--Graduate students--Research | |
dc.subject.lcsh | Polytechnic University of Puerto Rico--Graduate students--Posters | |
dc.title | Data Mining Techniques for the Integrated Postsecondary Data System | en_US |
dc.type | Article | en_US |
dc.rights.holder | Polytechnic University of Puerto Rico, Graduate School | en_US |
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