Predictive Intelligence Using Big Data and the Internet of Things

Predictive Intelligence Using Big Data and the Internet of Things

P.K. Gupta (Jaypee University of Information Technology, India), Tuncer Ören (University of Ottawa, Canada) and Mayank Singh (University of KwaZulu-Natal, South Africa)
Release Date: December, 2018|Copyright: © 2019 |Pages: 300
ISBN13: 9781522562108|ISBN10: 1522562109|ISBN13 Softcover: 9781522586555|EISBN13: 9781522562115|DOI: 10.4018/978-1-5225-6210-8

Description

With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time.

Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Business Analytics
  • Cloud Computing Techniques
  • Data Analytic Framework
  • Data Analytic Models
  • Data Mining Techniques
  • Device-to-Device Communications
  • Predictive Architecture
  • Quality Assurance
  • Real-Time Applications
  • Security Aspects
  • Supply Chain Management

Table of Contents and List of Contributors

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