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An Adaptive Neuro-Fuzzy System With Semi-Supervised Learning As An Approach To Improving Data Classification: An Illustration Of Bad Debt Recovery In Healthcare, Donghui Shi, Jozef Zurada, Jian Guan, Sandeep Goyal
An Adaptive Neuro-Fuzzy System With Semi-Supervised Learning As An Approach To Improving Data Classification: An Illustration Of Bad Debt Recovery In Healthcare, Donghui Shi, Jozef Zurada, Jian Guan, Sandeep Goyal
Journal of International Technology and Information Management
Business analytics has become an increasingly important priority for organizations today as they strive to achieve greater competitiveness. As organizations adopt business practices that rely on complex, large-scale data, new challenges also emerge. A common situation in business analytics is concerned with appropriate and adequate methods for dealing with unlabeled data in classification. This study examines the effectiveness of a semi-supervised learning approach to classify unlabeled data to improve classification accuracy rates. The context for our study is healthcare. The healthcare costs in the U.S. have risen at an alarming rate over the last two decades. One of the causes …