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 de

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Description

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.
Pages
432 pages
Collection
Lecture Notes on Data Engineering and Communications Technologies
Parution
2024-12-26
Marque
Springer
EAN papier
9783031709586
EAN PDF
9783031709593

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
68659 Ko
Prix
220,49 €
EAN EPUB
9783031709593

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
60559 Ko
Prix
220,49 €