Data Mining Methods & Models

The book introduces readers to data mining methods and models, including association rules, clustering, k-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis. Taking a unified approach based on crisp methodology, the book discusses the latest techniques for uncovering hidden nuggets of information and provides insight into how the data mining algorithms actually work with hands-on experience performing data mining on large data sets. · dimension reduction methods · regression modeling · multiple regression and model building · logistic regression · naïve bayes and bayesian networks · genetic algorithms · case study: modeling response to direct-mail marketing