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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007 (Lecture Notes in Computer Science, 4482)
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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings (Lecture Notes in Computer Science, 6743)
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![Stock image for Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, . I (Lecture Notes in Computer Science (3641)) [Paperback] Slezak, Dominik; Yao, Yiyu; Duentsch, Ivo; Wang, Guoyin and Szczuka, Marcin for sale by Broad Street Books](https://pictures.abebooks.com/isbn/9783540286530-uk-300.jpg)
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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings (Lecture Notes in Computer Science, 2639)
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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, ... II (Lecture Notes in Computer Science, 3642)
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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, ... I (Lecture Notes in Computer Science, 3641)
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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 12th International Conference, RSFDGrC 2009, Delhi, India, December 16-18, 2009, Proceedings (Lecture Notes in Computer Science, 5908)
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Fuzzy Computing in Data Science : Applications and Challenges
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Fuzzy Computing in Data Science : Applications and Challenges
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Fuzzy Computing in Data Science (Hardcover)
Published by John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119864925 ISBN 13: 9781119864929
Language: English
Hardcover. Condition: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketGebunden. Condition: New. Sachi Nandan Mohanty, PhD, received his doctorate from IIT Kharagpur in 2015 and his PostDoc from IIT Kanpur in 2019. He has recently joined as an associate professor at VIT-AP University, Andhra Pradesh. He has edited 24 books and published more than 100 r.
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Fuzzy Computing in Data Science: Applications and Challenges (Smart and Sustainable Intelligent Systems)
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Fuzzy Computing in Data Science
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Add to basketBuch. Condition: Neu. Neuware - FUZZY COMPUTING IN DATA SCIENCEThis 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.AudienceResearchers and students in computer science, artificial intelligence, machine learning, big data analytics, and information and communication technology.
