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Title: Finding Association Rules in College Course Progression
Authors: Melgueira, Pedro
Rato, Luis
Editors: Salgueiro, Pedro
Nogueira, Vítor
Keywords: Data Mining
Association Rules
Educational data
Issue Date: Feb-2015
Publisher: ECT/UEVORA
Citation: Melgueira, P., Rato, L. Finding Association Rules in College Course Progression, atas das Jornadas de Informática da Universidade de Évora, 2015.
Abstract: Association Rules are a data mining technique that aims at finding patterns in data that explain how different elements of the data influence each other. In this project this technique is used to find associations that describe the trends of college course completions and results. This project used a dataset from the University of Évora for rule finding. This paper shows how the dataset had to be preprocessed first in order to be mined, and describes the techniques and algorithms used.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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