Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies) - Softcover
Synopsis
This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy.
The book comprises 37 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:
1. Analysis and modeling of hybrid systems and processes—14 papers.
2. Theoretical and applied aspects of decision-making systems—7 papers.
3. Data engineering, computational intelligence, and inductive modeling—16 papers.
This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems.
"synopsis" may belong to another edition of this title.
From the Back Cover
This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy.
The book comprises 37 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:
1. Analysis and modeling of hybrid systems and processes―14 papers.
2. Theoretical and applied aspects of decision-making systems―7 papers.
3. Data engineering, computational intelligence, and inductive modeling―16 papers.
This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems.
"About this title" may belong to another edition of this title.
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies)
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1 (Paperback)
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Paperback. Condition: new. Paperback. This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy.The book comprises 37 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:1. Analysis and modeling of hybrid systems and processes14 papers.2. Theoretical and applied aspects of decision-making systems7 papers.3. Data engineering, computational intelligence, and inductive modeling16 papers.This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783031709586
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy.The book comprises 37 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:1. Analysis and modeling of hybrid systems and processes-14 papers.2. Theoretical and applied aspects of decision-making systems-7 papers.3. Data engineering, computational intelligence, and inductive modeling-16 papers.This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems. 448 pp. Englisch. Seller Inventory # 9783031709586
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1 | 2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence", Proceedings
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Taschenbuch. Condition: Neu. Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1 | 2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence", Proceedings | Sergii Babichev (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9783031709586 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 130054422
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1
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ISBN 10: 3031709586
ISBN 13: 9783031709586
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Taschenbuch. Condition: Neu. Neuware -This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch. Seller Inventory # 9783031709586
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1 : 2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence", Proceedings
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy.The book comprises 37 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:1. Analysis and modeling of hybrid systems and processes-14 papers.2. Theoretical and applied aspects of decision-making systems-7 papers.3. Data engineering, computational intelligence, and inductive modeling-16 papers.This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems. Seller Inventory # 9783031709586
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