By
Earl Cox, Scianta Intelligence, LLC, Chapel Hill, NC
Description
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers
involved in developing data mining models in business and government. As you’ll discover, fuzzy systems are extraordinarily valuable
tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from
biology provide the most effective means for designing and tuning these systems.
You don’t need a background in fuzzy modeling or
genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to
work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are
used to create a complex scheduling system.
Audience:
Researchers and technicians in organizations with large databases.
