Improving academic performance prediction by dealing with class imbalance

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

Volumn , Issue , 2009, Pages 878-883

  Thai Nghe, Nguyen ^a   Busche, Andre ^a   Schmidt Thieme, Lars ^a  

^a UNIVERSITY OF HILDESHEIM   (Germany)

Author keywords

Academic performance; Class imbalance; Cost sensitive; Prediction

Indexed keywords

ACADEMIC PERFORMANCE; CLASS IMBALANCE; CLASS IMBALANCE PROBLEMS; COST-SENSITIVE; COST-SENSITIVE LEARNING; DATA SETS; HIGHER EDUCATION; MACHINE-LEARNING; OVER SAMPLING; STUDENT PERFORMANCE; TECHNIQUES USED;

BAYESIAN NETWORKS; CLASSIFIERS; DECISION TREES; INFERENCE ENGINES; INTELLIGENT SYSTEMS; SUPPORT VECTOR MACHINES; TEACHING;

FORECASTING;

EID: 77949496332     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2009.15     Document Type: Conference Paper

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