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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 16 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:
1. 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 16 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:
1. 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 2 (eng)
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2
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Springer Nature Switzerland, Springer International Publishing Apr 2025, 2025
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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 16 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:1. 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. 304 pp. Englisch. Nº de ref. del artículo: 9783031884825
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies)
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2 | 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 2 | 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 | xiv | Englisch | 2025 | Springer | EAN 9783031884825 | 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: 132570210
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2
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Springer, Springer Apr 2025, 2025
ISBN 10: 3031884825
ISBN 13: 9783031884825
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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. The book comprises 16 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections: 1. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 304 pp. Englisch. Nº de ref. del artículo: 9783031884825
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2 : 2024 International Scientific Conference "Intelligent Systems of Decision-Making and Problems of Computational Intelligence", Proceedings
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Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 3031884825
ISBN 13: 9783031884825
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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 16 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections:1. 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: 9783031884825
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision-making: 2024 International Scientific Conference Intelligent Systems of Decision-making and Problems of Computational Intelligence, Proceedings
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Springer-Nature New York Inc, 2025
ISBN 10: 3031884825
ISBN 13: 9783031884825
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