Browsing by Subject "Data mining."
Now showing items 1-4 of 4
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Automated classification of rainfall systems using statistical characterization.
(2003)A general, completely automated procedure for classifying rainfall systems is developed. The technique is flexible and universally applicable, in that any rainfall system can be classified regardless of size, location, ... -
Decomposition techniques for support vector machines training and applications.
(2002)The theory of the Support Vector Machine (SVM) algorithm is based on statistical learning theory and can be applied to pattern recognition and regression. Training of SVMs leads to either a quadratic programming (QP) ... -
Dynamic optimization of service part inventory control policy through applied data mining and simulation.
(2007)This research defines a novel approach for associating inventory item behavior, focusing initially on demand patterns, with an optimal inventory control policy. This method relies upon the definition of typical service ... -
Uncertainty and sensitivity analysis in support vector machines: Robust optimization and uncertain programming approaches.
(2006)Noisy or uncertain data are common in machine learning and data mining applications. Noisy data can significantly affect the behavior of data mining and machine learning algorithms. Robust optimization and sensitivity ...