As you'll discover, fuzzy systems are extraordinary valuable tool for representing and manipulating all kinds of data, and genetic algorithms and programming techniques drawn from evolutionary biology provide the most effective way for designing and tuning these systems. You do not need a background in fuzzy modeling or genetic algorithms for the advantage, this book provides it, along with the instructions detailed in the methods that you can immediately put to work in your own projects. * Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective system of data mining. * Helps you to understand the trade-offs implicit in various models and architectural models. * Provides extensive coverage of the SQL query fuzzy, fuzzy clustering and fuzzy rule induction. * Lays out a roadmap for exploring data, selecting measures system model, organizing adaptive feedback, choosing the model configuration, implementing a working model, and validate the final model. * In the extended example, applies evolutionary programming techniques to solve complex scheduling problems. * Presents examples in C, C + +, Java, and easy to understand the pseudo-code. * Area of an online component, including sample code and complete data mining workbench.