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

Volodymyr Lytvynenko

ISBN 10: 3031709586 / ISBN 13: 9783031709586

Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024

About this Item

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 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.

Seller Inventory # 9783031709586

Bibliographic Details

• Title: 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
• Publisher: Springer Nature Switzerland, Springer Nature Switzerland
• Publication Date: 2024
• Language: English
• ISBN 10: 3031709586
• ISBN 13: 9783031709586
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 25D millimeters 235 millimeters width by 155 millimeters height by 25 millimeters depth
• Weight: 674 grams

About this title

Synopsis

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.