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Fuzzy computing in data science : applications and challenges / edited by Sachi Nandan Mohanty, Prasenjit Chatterjee, and Bui Thanh Hung

データ種別 電子ブック
出版者 (Hoboken, NJ : John Wiley & Sons, Inc)
出版年 2023
大きさ 1 online resource (xxi, 336 pages)
著者標目 Mohanty, Sachi Nandan editor
Chatterjee, Prasenjit editor
Hung, Bui Thanh editor

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URL
射水-電子 007 EB0005260 Wiley Online Library: Complete oBooks

9781394156870

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一般注記 Includes bibliographical references and index
Description based on online resource; title from digital title page (viewed on November 16, 2022)
FUZZY COMPUTING IN DATA SCIENCE This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges. The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, system control, and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation. Audience Researchers and students in computer science, artificial intelligence, machine learning, big data analytics, and information and communication technology
John Wiley and Sons Wiley Online Library: Complete oBooks
HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9781394156887
件 名 LCSH:Fuzzy logic
LCSH:Fuzzy systems
LCSH:Data mining
CSHF:Logique floue
CSHF:Syst�emes flous
CSHF:Exploration de donn�ees (Informatique)
FREE:Data mining
FREE:Fuzzy logic
FREE:Fuzzy systems
分 類 LCC:QA9.64
DC23:511.3/13
書誌ID EB00004549
ISBN 9781394156870

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