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Learning Algorithms Using Chance-Constrained Programs
(2010-07-08)
This thesis explores Chance-Constrained Programming (CCP) in the context of learning. It is shown that chance-constraint approaches lead to improved algorithms for three important learning problems — classification with ...
Efficient Frequent Closed Itemset Algorithms With Applications To Stream Mining And Classification
(2010-08-24)
Data mining is an area to find valid, novel, potentially useful, and ultimately understandable abstractions in a data. Frequent itemset mining is one of the important data mining approaches to find those abstractions in ...