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  • 1
    ISBN: 9781003310792 , 1003310796 , 9781000881271 , 100088127X , 1000881296 , 9781000881295
    Language: English
    Pages: 1 online resource (x, 236 pages)
    Edition: First edition.
    Parallel Title: Erscheint auch als
    Keywords: Big data ; Semantic computing ; Artificial intelligence ; Information science ; Information technology ; TECHNOLOGY / Operations Research ; TECHNOLOGY / Manufacturing ; Artificial intelligence ; Big data ; Information science ; Information technology ; Semantic computing
    Abstract: Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do. Data Science with Semantic Technologies: Deployment and Exploration, the second volume of a two-volume handbook set, provides a roadmap for the deployment of semantic technologies in the field of data science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book offers the answer to various questions like: What makes a technology semantic as opposed to other approaches to data science? What is knowledge data science? How does knowledge data science relate to other fields? This book explores the optimal use of these technologies to provide the highest benefit to the user under one comprehensive source and title. As there is no dedicated book available in the market on this topic at this time, this book becomes a unique resource for scholars, researchers, data scientists, professionals, and practitioners. This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation.
    Note: Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on August 09, 2023)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    ISBN: 9780128232224 , 0128232226
    Language: English
    Pages: 1 online resource (xvi, 318 pages) , illustrations
    Series Statement: Advances in ubiquitous sensing applications for healthcare volume 12
    Parallel Title: Erscheint auch als
    DDC: 005.8
    Keywords: Internet of things Security measures ; Sensor networks Security measures ; Data protection ; Computer networks Security measures ; Computer networks ; Security measures ; Data protection ; Internet des objets ; Sécurité ; Mesures ; Réseaux de capteurs ; Sécurité ; Mesures ; Protection de l'information (Informatique) ; Réseaux d'ordinateurs ; Sécurité ; Mesures
    Abstract: Security and Privacy Issues in IoT Devices and Sensor Networks investigates security breach issues in IoT and sensor networks, exploring various solutions. The book follows a two-fold approach, first focusing on the fundamentals and theory surrounding sensor networks and IoT security. It then explores practical solutions that can be implemented to develop security for these elements, providing case studies to enhance understanding. Machine learning techniques are covered, as well as other security paradigms, such as cloud security and cryptocurrency technologies. The book highlights how these techniques can be applied to identify attacks and vulnerabilities, preserve privacy, and enhance data security. This in-depth reference is ideal for industry professionals dealing with WSN and IoT systems who want to enhance the security of these systems. Additionally, researchers, material developers and technology specialists dealing with the multifarious aspects of data privacy and security enhancement will benefit from the book's comprehensive information.
    Note: Includes bibliographical references and index. - Print version record
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