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This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM... Læs mere
This book gathers a collection of high-quality peer-reviewed research papers presented at the International... Læs mere
The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics.
Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data.
The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.
This book helps readers understand what data can do, how to unlock value from your data and how you use it to change the game in your organisation.
R for Data Analysis in easy steps, 2nd edition is written using a proven easy-to-follow style for maximum appeal. It will be useful to anyone who wants to begin programming in R, with minimum fuss. Updated for the latest version of R.
Business Analytics, is driven by an increasing demand from the real world. This book reviews advances in data analytics and business intelligence that assists industries in problem-solving exercises, with a view to driving competitive advantage.