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Fall 2018
One-class classification is a problem that arises in situations where we have data available that describes objects belonging to a particular class but very little or no data describing objects that do not belong to this class, where we must then be able to classify new data objects according to...
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Fall 2009
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Support and confidence are the de-facto “interestingness measures” used for discovering relevant association rules. The...
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