Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2

Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 2

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About this title

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.

Details

Publisher
Springer Nature Switzerland
Language
EN
Format
PDF
Published
ISBN
9783031884832
File protection
Watermark — opens on any reader, no extra account needed