Implementation of a classification algorithm for institutional analysis

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dc.contributor.authorSun, Hongliang
dc.contributor.authorUniversity of Lethbridge. Faculty of Arts and Science
dc.contributor.supervisorOsborn, Wendy
dc.contributor.supervisorFiske, Jo-Anne
dc.date.accessioned2009-07-08T20:06:54Z
dc.date.available2009-07-08T20:06:54Z
dc.date.issued2008
dc.degree.levelMasters
dc.descriptionviii, 38 leaves ; 29 cm. --en
dc.description.abstractThe report presents an implemention of a classification algorithm for the Institutional Analysis Project. The algorithm used in this project is the decision tree classification algorithm which uses a gain ratio attribute selectionmethod. The algorithm discovers the hidden rules from the student records, which are used to predict whether or not other students are at risk of dropping out. It is shown that special rules exist in different data sets, each with their natural hidden knowledge. In other words, the rules that are obtained depend on the data that is used for classification. In our preliminary experiments, we show that between 55-78 percent of data with unknown class lables can be correctly classified, using the rules obtained from data whose class labels are known. We feel this is acceptable, given the large number of records, attributes, and attribute values that are used in the experiments. The project results are useful for large data set analysis.en
dc.identifier.urihttps://hdl.handle.net/10133/738
dc.language.isoen_USen
dc.publisherLethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2008en
dc.publisher.departmentMathematics and Computer Scienceen
dc.publisher.facultyArts and Scienceen
dc.relation.ispartofseriesProject (University of Lethbridge. Faculty of Arts and Science)en
dc.subjectClassification rule mining -- Alberta -- Lethbridgeen
dc.subjectDropout behavior, Prediction of -- Analysisen
dc.subjectDropout behavior, Prediction of -- Computer programsen
dc.subjectPattern recognition systemsen
dc.subjectData mining -- Alberta -- Lethbridgeen
dc.subjectComputer algorithmsen
dc.subjectCollege students -- Alberta -- Lethbridgeen
dc.titleImplementation of a classification algorithm for institutional analysisen
dc.typeThesisen
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