Lecture Notes in Data Engineering Computational Intelligence and Decision Making is popular PDF and ePub book, written by Sergii Babichev in 2022-09-13, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Lecture Notes in Data Engineering Computational Intelligence and Decision Making can be Read Online from any device for your convenience.
Lecture Notes in Data Engineering Computational Intelligence and Decision Making Book PDF Summary
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.
Detail Book of Lecture Notes in Data Engineering Computational Intelligence and Decision Making PDF
- Author : Sergii Babichev
- Release : 13 September 2022
- Publisher : Springer Nature
- ISBN : 9783031162039
- Genre : Technology & Engineering
- Total Page : 735 pages
- Language : English
- PDF File Size : 21,9 Mb
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