Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration by Earl Cox
Suitable for analysts, engineers and managers involved in developing data mining models in business and government, this work helps you to understand the trade-offs implicit in various models and model architectures. It provides coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction.-
Data Modeling Essentials
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Data Mining
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Business Process Change
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Joe Celko's SQL for Smarties
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Enterprise Knowledge Management
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Joe Celko's SQL Puzzles and Answers
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IT Manager's Handbook
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Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL
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Information Modeling and Relational Databases
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Distributed Algorithms
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TCP/IP Sockets in Java
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SQL
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Database Design for Smarties
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Querying XML
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Principles of Transaction Processing for the Systems Professional
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Data Mining: Concepts and Techniques
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Relational Database Design Clearly Explained
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Building an Object-Oriented Database System
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Java Data Mining: Strategy, Standard, and Practice
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Data Mining, Southeast Asia Edition
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XML for Data Architects
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Temporal Data & the Relational Model
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Atomic Transactions
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Engineering Global E-Commerce Sites
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Data Warehousing And Business Intelligence For e-Commerce
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The Object Data Standard
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Maintaining and Evolving Successful Commercial Web Sites
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Advanced SQL:1999
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Data Warehousing
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Object Database Standard
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Database Modeling and Design
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Camelot and Avalon
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Managing Reference Data in Enterprise Databases
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Business Modeling and Data Mining
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A Complete Guide to DB2 Universal Database
Earl founded and serves as President of, Scianta Intelligence, a next generation machine intelligence and knowledge exploration company. He is a futurist, author, management consultant, and educator involved in discovering the epistemology of advanced intelligent systems, the redefinition of the machine mind, and, as a pioneer of Internet-based technologies, the way in which evolving inter-connected virtual worlds will affect the sociology of business and culture in the near and far future.Earl has over thirty years experience in managing and participating in the software development process at the system as well as tightly integrated application level. In the area of advanced machine intelligence technologies, Earl is a recognized expert in fuzzy logic, and adaptive fuzzy systems as they are applied to information and decision theory. He has pioneered the integration of fuzzy neural systems with genetic algorithms and case-based reasoning. As an industry observer and futurist, Earl has written and talked extensively on the philosophy of the Response to Change, the nature of Emergent Intelligence, and the Meaning of Information Entropy in Mind and Machine.
| SKU | Unavailable |
| ISBN 13 | 9780121942755 |
| ISBN 10 | 0121942759 |
| Title | Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration |
| Author | Earl Cox |
| Series | The Morgan Kaufmann Series In Data Management Systems |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Elsevier Science & Technology |
| Year published | 2005-02-24 |
| Number of pages | 540 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |