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This book offers a basic understanding of the Internet of Things (IoT), its design issues and challenges for healthcare applications. It also provides details of the challenges of healthcare big data, role of big data in healthcare and techniques, and tools for IoT in healthcare. This book offers a strong foundation to a beginner. All technical details that include healthcare data collection unit, technologies and tools used for the big data analytics implementation are explained in a clear and organized format.

Computer engineering. --- Internet of things. --- Embedded computer systems. --- Computer software. --- Health informatics. --- Big data. --- Artificial intelligence. --- Materials science. --- Cyber-physical systems, IoT. --- Professional Computing. --- Health Informatics. --- Big Data. --- Artificial Intelligence. --- Materials Science, general. --- Material science --- Physical sciences --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data sets, Large --- Large data sets --- Data sets --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Software, Computer --- Computer systems --- Embedded systems (Computer systems) --- Architecture Analysis and Design Language --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Computers --- Data processing --- Design and construction --- Medical informatics.

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Information retrieval. --- Natural language processing (Computer science) --- Graph theory. --- Graph theory --- Graphs, Theory of --- Theory of graphs --- Combinatorial analysis --- Topology --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Extremal problems --- Recuperació de la informació --- Tractament del llenguatge natural (Informàtica) --- Teoria de grafs

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This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples. It also provides understanding of graph theory basics, graph algorithms and networks using graph. The book is divided into three parts and contains nine chapters. The first part gives graph theory basics and graph networks, and the second part provides basics of IR with graph-based information retrieval. The third part covers IR and NLP recent and emerging applications with case studies using graph theory. This book is unique in its way as it provides a strong foundation to a beginner in applying mathematical structure graph for IR and NLP applications. All technical details that include tools and technologies used for graph algorithms and implementation in Information Retrieval and Natural Language Processing with its future scope are explained in a clear and organized format.

Statistical science --- Discrete mathematics --- Mathematical statistics --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- grafieken --- NLP (neurolinguïstisch programmeren) --- statistiek --- programmeren (informatica) --- computerbeveiliging --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)