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This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
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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.
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This book focuses on automated analytical techniques for healthcare applications used to extract knowledge from a large... Læs mere
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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.
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This book investigates various challenges faced by the Engineering sector concerning disruptive technologies and... Læs mere
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The book focuses on suggesting software solutions for supporting societal issues such as health care, learning and monitoring... Læs mere
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Healthcare and knowledge management is the need of the era; this book investigates various challenges faced by... Læs mere
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This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of... Læs mere
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This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer... Læs mere
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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
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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
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This book discusses algorithmic applications in the field of machine learning and IOT with pertinent applications. It further... Læs mere