附註:Includes bibliographical references and index.
Introducing data mining and knowledge discovery / R. Sarker, H. Abbass, C. Newton -- A heuristic algorithm for feature selection based on optimization techniques / A.M. Bagirov, A.M. Rubinov, J. Yearwood -- Cost-sensitive classification using decision trees, boosting and metacost / Kai Mai Ting -- Heuristic search-based stacking of classifiers / Agapito Ledezma, Ricardo Aler, Daniel Borrajo -- Designing component-based heuristic search engines for knowledge discovery / Craig M. Howard -- Clustering mixed incomplete data / José Ruiz-Schulcloper, Guillermo Sánchez-Diaz, Mongi A. Abidi -- Bayesian learning / Paula Macrossan, Kerrie Mengersen -- How size matters: The role of sampling in data mining / Paul D. Scott -- The gamma test / Antonia J. Jones [and others] -- Neural networks-Their use and abuse for small data sets / Denny Meyer, Andrew Balemi, Chris Wearing -- How to train multilayer perceptrons efficiently with large data sets / Hyeyong Park -- Cluster analysis of marketing data examining on-line shopping orientation: A comparison of k-means and rough clustering approaches / Kevin E. Voges, Nigel K. Ll. Pope, Mark R. Brown -- Heuristics in medical data mining / Susan E. George -- Understanding credit card user's behaviour: A data mining approach / A. de Carvalho [and others] -- Heuristic knowledge discovery for archaeological data using genetic algorthms and rough sets / Alina Lazar.
