Mathematical programming in data mining: Models for binary classification with application to collusion detection in online gambling
Data mining is a semi-automated technique to discover patterns and trends in large amounts of data and can be used to build statistical models to predict those patterns and trends. One type of prediction model is a classifier, which attempts to predict to which group a particular item belongs. An im...
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| Language: | en_US |
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The University of Arizona.
2003
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| Online Access: | http://hdl.handle.net/10150/280270 |