Karon Meehan

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The process of extracting knowledge from data involves the discovery of patterns of interest which may be implicit, for instance, in speciÞc clusters of data points. In the context of Internet retailing, Þnding clusters of typical consumer types is among the most important uses of data mining techniques. Cluster-based market segmentation models, grounded on(More)
Project Overview This project focuses on the design of a complete and systematic quantitative methodology for the analysis of consumers' opinions of business-to-consumer electronic commerce. This methodology is centered on neural network models and comprises four successive stages of implementation, as follows: Latent variable analysis and dimensionality(More)
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