| 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 Data mining techniques for the integrated postsecondary data system [Unpublished manuscript].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 |
