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The GUHA is a method of mechanizing hypothesis formation. The input of the GUHA procedure consists of analysed data and several parameters... Læs mere
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Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed.
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Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights... Læs mere
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This book illustrates different techniques and structures that are used in knowledge representation and machine learning. The... Læs mere
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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