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.

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (The Morgan Kaufmann Series in Data Management Systems)

Business & Money

Cox, Earl

Management & Leadership

Morgan Kaufmann

This new edition provides a comprehensive introduction to fuzzy logic, and leads the reader through the complete process of designing, constructing, implementing, verifying and maintaining a platform-independent fuzzy system model. The book has been extensively revised to bring the subject up-to-date, and features two new chapters: "Building and Using Fuzzy Cognitive Map Models" and "Building ME-OWA Models."The multiplatform CD-ROM contains all the C++ source code from the book's examples - but its real value is the robust package of fuzzy system related tools and utilities, featuring two notable components. First: Metus Systems' basic fuzzy modeling software, which includes complete C/C++ source code for creating and executing fuzzy models, a Visual Basic shell that can be used to create fuzzy sets and generate the C/C++ include files, and code for models for pricing, project management, risk assessment, and more. Second: The ME-OWA (Minimum-Entropy, Ordered Weighted Aggregation) decision modeling software from Fuzzy Logic, Inc. This software is used to focus on a single objective function from a set of alternatives given a fuzzy ranking among various alternatives. It is not only an important technique as a stand-alone tool, but is an important methodology in parameter selection (and parameterization ordering) for genetic algorithms and various data mining techniques. It is also an important technique used to establish rule and policy level peer weights in fuzzy models.                                      Key Features* Tutorial style, requiring no background in fuzzy logic* Case studies illustrate real-world fuzzy applications* Mathematically straightforward exposition, with emphasis on practical use* CD-ROM features all the C++ source code from the book and a robust package of fuzzy system related tools and utilities

The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems

Computers & Technology

Morgan Kaufmann Pub

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.

Data Mining: Know It All

Kamber, Micheline

Schneider, Markus

Neapolitan, Richard E.

Jiang, Xia

Chakrabarti, Soumen

Witten, Ian H.

Frank, Eibe

Lightstone, Sam S.

Teorey, Toby J.

Pyle, Dorian

Refaat, Mamdouh

Han,Jiawei

Nadeau, Thomas P.

Güting, Ralf Hartmut

Computer Science

The Young Lawyer in Court holds seasoned advice guaranteed to enhance a lawyer’s trial practice skill set. Earl Cox first published this advice in 1946. With the book at risk of being lost to history and not readily available for purchase or reading, presented here is a modern version to honor the original effort and enhance the professional practice of law. The new publication retains as much of the original feel, layout, and formatting as practical. The editor, Dean Korsak, is a practicing attorney who first encountered Earl Cox’s work while serving as a young military prosecutor in Texas. He presents here a restored and updated version for the benefit and enjoyment of generations to come.

The Young Lawyer In Court

Korsak, Dean W.

Rules & Procedures

Dandak Publishing, LLC

Calling It Like I See It: True Stories and Tall Tales About Kentucky Sports

Butler Books

In his sequel to the bestselling, Fuzzy Systems Handbook, the foremost authority on the applications of fuzzy logic presents actual models and case studies from business and industry. This "hands-on' book/disk package contains fuzzy modelling concepts and software that will be used throughout the industry.

Fuzzy Logic for Business and Industry (DOS Windows)

Charles River Media

What will happen to us--after we teach our computers and robots to think? In this compelling book, two bestselling authors, a paleontologist and an artificial intelligence guru, team up to present some of the sociological, theological, and scientific issues that we will face in the 21st century.

Beyond Humanity: Cyberevolution and Future Minds

Paul, Gregory S.

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Books by Cox, Earl