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Doctor of Philosophy, (Applied Statistics)
Study Completed: 2013
College of Sciences
Complexity Measurement for Dealing with Class Imbalance Problems in Classification Modelling
In statistics, data mining, and machine learning, classification modelling seeks rules for allocating individuals to a class, based on their characteristics. This is known to be very difficult when one class is much more prevalent than another. Mr Anwar considered two-class problems for datasets exhibiting this kind of imbalance. He proposed a new measurement of data complexity in order to develop methodologies for improving classifier performance. Applications include fraud/intrusion detection, medical diagnosis/monitoring, bioinformatics, text categorization, insurance claims, and target marketing.
Professor Geoff Jones
Dr Siva Ganesh
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Last updated on Tuesday 04 April 2017