Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1: 2024 International Scientific Conference "Intelligent ... and Communications Technologies, Band 219) - Softcover

 
9783031709586: Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1: 2024 International Scientific Conference "Intelligent ... and Communications Technologies, Band 219)
Softcover
ISBN 10: 3031709586 ISBN 13: 9783031709586
Verlag: Springer, 2024

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3031709586
ISBN 13 
9783031709586
Einband
Taschenbuch
Anzahl der Seiten
448
Herausgeber
Babichev Sergii, Lytvynenko Volodymyr
Kontakt zum Hersteller
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