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This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism.
This book focuses on automated analytical techniques for healthcare applications used to extract knowledge from a large... Læs mere
This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.
This book investigates various challenges faced by the Engineering sector concerning disruptive technologies and... Læs mere
The book focuses on suggesting software solutions for supporting societal issues such as health care, learning and monitoring... Læs mere
Healthcare and knowledge management is the need of the era; this book investigates various challenges faced by... Læs mere
This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of... Læs mere
This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer... Læs mere
This book focuses on all the relevant topics of Deep Learning. It covers the conceptual, mathematical and practical aspects of deep learning & offers real time... Læs mere
This book provides an overview of the innovative concepts, methodologies and frameworks of fog computing. It discusses topics such as the basics of the... Læs mere
This book discusses algorithmic applications in the field of machine learning and IOT with pertinent applications. It further... Læs mere
This book focusses on applications of different digital platforms in the field of healthcare including different devices used, their benefits, diagnosis, use in treatment,... Læs mere