Predictive Intelligence Using Big Data and the Internet of Things, 1st Edition

  • P. K. Gupta
  • Tuncer Ören
  • Mayank Singh
  • Published By: Engineering Science Reference
  • ISBN-10: 1522562117
  • ISBN-13: 9781522562115
  • DDC: 006.3
  • 300 Pages | eBook
  • Original Copyright 2019 | Published/Released November 2019
  • This publication's content originally published in print form: 2019

  • Price:  Sign in for price



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. This title 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.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Computational Intelligence and Robotics (ACIR) Book Series.
Titles in This Series.
Table of Contents.
Detailed Table of Contents.
Predictive Intelligence and Big Data.
1: Big-Data-Based Techniques for Predictive Intelligence.
2: Big-Data-Based Architectures and Techniques: Big Data Reference Architecture.
3: Quality Assurance Issues for Big Data Applications in Supply Chain Management.
4: Big Data Analytics: Educational Data Classification Using Hadoop-Inspired Mapreduce Framework.
Predictive Intelligence and IoT.
5: Improved Usability of IOT Devices in Healthcare Using Big Data Analysis.
6: Cloud-Based Predictive Intelligence and Its Security Model.
7: IoT-Based Cold Chain Logistics Monitoring.
8: Learning-Aided IoT Set-Up for Home Surveillance Applications.
9: Application of Predictive Intelligence in Water Quality Forecasting of the River Ganga Using Support Vector Machines.
10: Interference Management Techniques for Device-to-Device Communications.
Compilation of References.
Related References.
About the Contributors.