Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is popular PDF and ePub book, written by Earl Cox in 2005-02-24, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration can be Read Online from any device for your convenience.
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration Book PDF Summary
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. Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective data mining systems Helps you to understand the trade-offs implicit in various models and model architectures Provides extensive coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction Lays out a roadmap for exploring data, selecting model system measures, organizing adaptive feedback loops, selecting a model configuration, implementing a working model, and validating the final model In an extended example, applies evolutionary programming techniques to solve a complicated scheduling problem Presents examples in C, C++, Java, and easy-to-understand pseudo-code Extensive online component, including sample code and a complete data mining workbench
Detail Book of Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration PDF
- Author : Earl Cox
- Release : 24 February 2005
- Publisher : Elsevier
- ISBN : 9780080470597
- Genre : Computers
- Total Page : 553 pages
- Language : English
- PDF File Size : 11,6 Mb
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