A Classification Framework for Imbalanced Data
As information technology advances, the demands for developing a reliable and highly accurate predictive model from many domains are increasing. Traditional classification algorithms can be limited in their performance on highly imbalanced data sets. In this dissertation, we study two common problem...
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| Format: | Others |
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ScholarWorks @ Georgia State University
2013
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| Online Access: | http://scholarworks.gsu.edu/cs_diss/78 http://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1081&context=cs_diss |