Data capture & analysis books

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This book provides an overview of the innovative concepts, methodologies and frameworks of fog computing. It discusses...  Read More >>

The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve the services given...  Read More >>

The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization, and self-sovereign identity...  Read More >>

This book aims to build and prompt the field of Data Analytics towards decision making in terms of models and algorithms,...  Read More >>

This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition...  Read More >>

This book discusses algorithmic applications in the field of machine learning and IOT with pertinent applications....  Read More >>

This book covers all the aspects of Blockchain and its application in IOT and focuses on Blockchain, its features,...  Read More >>

This book includes various topics related to marketing and business analytics. It is written to help organizations...  Read More >>

The book emphasizes on building fundamentals of IoT networks by leveraging important and relevant concepts from...  Read More >>

This book aims to discuss the convergence of three powerful technologies which play into the digital revolution...  Read More >>

This book provides a detailed description of machine learning algorithms in Data Analytics, Data Science Lifecycle,...  Read More >>

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This book not only focuses on the practical applications of data science to achieve computational excellence, but...  Read More >>

This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such...  Read More >>

The prolificacy and accessibility of technology and digital communications platforms is not only giving rise to...  Read More >>

Smart proxy models provide an opportunity to replicate numerical simulations with very high accuracy and can be...  Read More >>

Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging...  Read More >>

Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning...  Read More >>

The book focuses on suggesting software solutions for supporting societal issues such as health care, learning and...  Read More >>

This book investigates the role of data mining in computational statistics for machine learning. It offers applications...  Read More >>

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the...  Read More >>

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract...  Read More >>

This book focuses on all the relevant topics of Deep Learning. It covers the conceptual, mathematical and practical...  Read More >>

This book constitutes the post-conference proceedings of the 25th International Conference on Data Analytics and...  Read More >>