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
Language: English
Published by Springer, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 263.61
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Add to basketItem description from seller
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.
Seller Inventory # 9783031884825
- Title
- 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
- Author
- Volodymyr Lytvynenko
- Publisher
- Springer
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3031884825
- ISBN 13
- 9783031884825
- Item weight
- 464 grams
- Dimensions
- 235x155x17 mm
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.
"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 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.
"About the title" may belong to another edition of this title.
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