Gloria Phillips-Wren - Advances in Data Science: Methodologies and Applications

The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching, Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia.

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More information about this series at http://www.springer.com/series/8578

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The tremendous advances in inexpensive computing power and intelligent techniques have opened many opportunities for managing and investigating data in virtually every field including engineering, science, healthcare, business, and so on. A number of paradigms and applications have been proposed and used by researchers in recent years as this book attests, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development.

The research presented in this book are interdisciplinary and cover themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection.

This book provides a vision on how technologies are entering into ambient living places and how methodologies and applications are changing to involve massive data analysis of human behavior.

The book is directed to researchers, practitioners, professors, and students interested in recent advances in methodologies and applications of data science. We believe that this book can also serve as a reference to relate different applications using a similar methodological approach.

Thank are due to the chapter contributors and reviewers for sharing their deep expertise and research progress in this exciting field.

The assistance provided by Springer-Verlag is gratefully acknowledged.