عنوان

Fuzzy modeling and genetic algorithms for data mining and exploration /

شابک

0080470599

شابک

0121942759

شابک

1280961295

شابک

9780080470597

شابک

9780121942755

شابک

9781280961298

شماره

b747681

عنوان اصلي

Fuzzy modeling and genetic algorithms for data mining and exploration /

نام عام مواد

[Book]

نام نخستين پديدآور

Earl Cox.

محل نشرو پخش و غیره

Boston :

نام ناشر، پخش کننده و غيره

Elsevier/Morgan Kaufmann,

تاریخ نشرو بخش و غیره

©2005.

تاریخ نشرو بخش و غیره

©2005

نام خاص و کميت اثر

1 online resource (xxi, 530 pages) :

ساير جزييات

illustrations.

عنوان فروست

The Morgan Kaufmann series in data management systems

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Foundations and ideas -- Principal model types -- Approaches to model building -- Fundamental concepts of fuzzy logic -- Fundamental concepts of fuzzy systems -- Fuzzy SQL and intelligent queries -- Fuzzy clustering -- Fuzzy rule induction -- Fundamental concepts of genetic algorithms -- Genetic resource scheduling optimization -- Genetic tuning of fuzzy models.

بدون عنوان

0

متن يادداشت

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 youll 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 dont 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.

منبع سفارش / آدرس اشتراک

Elsevier Science & Technology

شماره انبار

88646:88646

عنوان

Fuzzy modeling and genetic algorithms for data mining and exploration.

شماره استاندارد بين المللي کتاب و موسيقي

9780121942755

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Fuzzy logic.

موضوع مستند نشده

Genetic algorithms.

موضوع مستند نشده

COMPUTERS-- Database Management-- Data Mining.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Fuzzy logic.

موضوع مستند نشده

Fuzzy logic.

موضوع مستند نشده

Genetic algorithms.

موضوع مستند نشده

Genetische algoritmen.

موضوع مستند نشده

COM-- 021030

موضوع مستند نشده

UXB

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Cox, Earl.

تاريخ عمليات

20201204074528.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y