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
Herausgegeben: Babichev, Sergii; Lytvynenko, Volodymyr
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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 dat...
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.
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.
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