Karon Meehan

Learn More
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)
Latent variable analysis and dimensionality reduction: A survey data set containing Internet users' opinions of online shopping and online vendors, is made available for our study. Before carrying out a quantitative analysis, it is necessary to extract the latent traits behind these consumer opinions. Factor analysis is a common statistical method for doing(More)
  • 1