Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1: 2024 International Scientific Conference "Intelligent ... Engineering and Communications Technologies) - Tapa blanda
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1 (eng)
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making
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Springer Verlag GmbH, 2024
ISBN 10: 3031709586
ISBN 13: 9783031709586
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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
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Springer, Springer Dez 2024, 2024
ISBN 10: 3031709586
ISBN 13: 9783031709586
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 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. Condición: 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 | Lecture Notes on Data Engineering and Communications Technologies | 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. Nº de ref. del artículo: 130054422
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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
Publicado por
Springer, Springer Dez 2024, 2024
ISBN 10: 3031709586
ISBN 13: 9783031709586
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch. Nº de ref. del artículo: 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. Condición: 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. Nº de ref. del artículo: 9783031709586
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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 (Lecture Notes on Data Engineering and Communications Technologies)
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