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Soft computing applications for data...
~
Nedunchezhian, R.
Soft computing applications for database technologies = techniques and issues /
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
Soft computing applications for database technologies/ K. Anbumani and R. Nedunchezhian [editors].
其他題名:
techniques and issues /
其他作者:
Nedunchezhian, R.
出版者:
Hershey, Pa. :IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), : c2010.,
面頁冊數:
xvi, 331 p. :ill. ; : 29 cm.;
標題:
Soft computing. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-814-7
ISBN:
9781605668154 (ebook)
Soft computing applications for database technologies = techniques and issues /
Soft computing applications for database technologies
techniques and issues /[electronic resource] :K. Anbumani and R. Nedunchezhian [editors]. - Hershey, Pa. :IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),c2010. - xvi, 331 p. :ill. ;29 cm.
Includes bibliographical references.
The digital revolution and the explosive growth of the internet have helped the collection of huge amounts of useful data of diverse characteristics, which is a valuable and intangible asset in any business of today. This book treats the new, emerging discipline of soft computing, which exploits this data through tolerance for imprecision and uncertainty to achieve solutions for complex problems. Soft computing methodologies include fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks and rough sets, which are explored in detail through case studies and in-depth research. The advent of soft computing marks a significant paradigm shift in computing, with a wide range of applications and techniques which are presented and discussed in the chapters of this book.
Mode of access: World Wide Web.
ISBN: 9781605668154 (ebook)Subjects--Topical Terms:
87020
Soft computing.
Subjects--Index Terms:
Fuzzy database modeling
LC Class. No.: QA76.9.D32 / S64 2010e
Dewey Class. No.: 006.3
Soft computing applications for database technologies = techniques and issues /
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The digital revolution and the explosive growth of the internet have helped the collection of huge amounts of useful data of diverse characteristics, which is a valuable and intangible asset in any business of today. This book treats the new, emerging discipline of soft computing, which exploits this data through tolerance for imprecision and uncertainty to achieve solutions for complex problems. Soft computing methodologies include fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks and rough sets, which are explored in detail through case studies and in-depth research. The advent of soft computing marks a significant paradigm shift in computing, with a wide range of applications and techniques which are presented and discussed in the chapters of this book.
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Fuzzy database modeling
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