The intent of this book is to describe some recent data mining tools that
have proven effective in dealing with data sets which often involve uncertain
description or other complexities that cause difficulty for the conventional
approaches of logistic regression, neural network models, and decision
trees. Among these traditional algorithms, neural network models
often have a relative advantage when data is complex. We will discuss
methods with simple examples, review applications, and evaluate relative
advantages of several contemporary methods.
