TY - BOOK ID - 700144 TI - Big Data and Internet of Things: A Roadmap for Smart Environments AU - Bessis, Nik. AU - Dobre, Ciprian. PY - 2014 SN - 331905029X 3319050281 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Big data. KW - Internet of things. KW - Context-aware computing. KW - Context-aware pervasive systems KW - Context-awareness (Computer science) KW - Ubiquitous computing KW - Global system for mobile communications KW - Mobile computing KW - Sensor networks KW - IoT (Computer networks) KW - Things, Internet of KW - Computer networks KW - Embedded Internet devices KW - Machine-to-machine communications KW - Data sets, Large KW - Large data sets KW - Data sets KW - Engineering. KW - Artificial intelligence. KW - Computational Intelligence. KW - Artificial Intelligence. KW - Construction KW - Industrial arts KW - Technology KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Computational intelligence. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing UR - https://www.unicat.be/uniCat?func=search&query=sysid:700144 AB - This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities: Section I: Foundations and Principles Section II: Advanced Models and Architectures Section III: Advanced Applications and Future Trends The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era. . ER -