Handbook of Research On Big Data and the IoT

  • 13h 42m
  • Gurjit Kaur, Pradeep Tomar (eds)
  • IGI Global
  • 2019

The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams.

The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.

In this Book

  • Big Data and IoT Applications in Real Life Environment
  • Applications of Big Data and Green IoT-Enabling Technologies for Smart Cities
  • Big Data Utilization, Benefits, and Challenges for Smart City Implementation
  • Big Data and the Internet of Things: Current Industry Practices and their Implications for Consumer Privacy and Privacy Literacy
  • Big Data and IoT Opportunities for Small and Medium-Sized Enterprises (SMEs)
  • Internet of Things with Object Detection: Challenges, Applications, and Solutions
  • Semantics for Big Data Sets
  • IoT Big Data Architectures, Approaches, and Challenges: A Fog-Cloud Approach
  • Interoperability in IoT
  • Critical Issues in the Invasion of the Internet of Things (IoT): Security, Privacy, and Other Vulnerabilities
  • Security in IoT and Big Data with Technical Challenges
  • Disaster Management Using Internet of Things
  • Tools and Platforms for Developing IoT Systems
  • An Internet of Things Ambient Light Monitoring System
  • Challenges and Solutions of Big Data and IoT
  • Role of Big Data in Internet of Things Networks
  • Role of Communication Technologies for Smart Applications in IoT
  • Machine Learning, Data Mining for IoT-Based Systems
  • Creating a Research Laboratory on Big Data and Internet of Things for the Study and Development of Digital Transformation
  • Big Data Analytics and Internet of Things in Industrial Internet in Former Soviet Union Countries
  • Green Internet of Things (G-IoT): ICT Technologies, Principles, Applications, Projects, and Challenges
  • Artificial Neural Network Models for Large-Scale Data
  • Personal Data Privacy and Protection in the Meeting, Incentive, Convention, and Exhibition (MICE) Industry
  • Public Administration Curriculum-Based Big Data Policy-Analytic Epistemology: Symbolic IoT Action-Learning Solution Model
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