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 |
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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 |
書誌詳細を非表示
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 |
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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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