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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making
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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making : 2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence”, Proceedings

1st ed. 2023

Book Details

Format Paperback / Softback
ISBN-10 3031162021
ISBN-13 9783031162022
Edition 1st ed. 2023
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 14th, 2022
Print length 721 Pages
Product Classification: Artificial intelligence
Ksh 23,400.00
Werezi Extended Catalogue 0 in stock

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This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making.

This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing.

The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, Computational Intelligence and Inductive Modeling".

The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.


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