Predictive Intelligence Using Big Data and the Internet of Things

Predictive Intelligence Using Big Data and the Internet of Things
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Book 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.

Content

Section 1 - Predictive Intelligence and Big Data
Chapter 1. Big-Data-Based Techniques for Predictive Intelligence
Chapter 2. Big-Data-Based Architectures and Techniques: Big Data Reference Architecture
Chapter 3. Quality Assurance Issues for Big Data Applications in Supply Chain Management
Chapter 4. Big Data Analytics: Educational Data Classification Using Hadoop-Inspired MapReduce Framework

Section 2 - Predictive Intelligence and IoT
Chapter 5. Improved Usability of IOT Devices in Healthcare Using Big Data Analysis
Chapter 6. Cloud-Based Predictive Intelligence and Its Security Model
Chapter 7. IoT-Based Cold Chain Logistics Monitoring
Chapter 8. Learning-Aided IoT Set-Up for Home Surveillance Applications
Chapter 9. Application of Predictive Intelligence in Water Quality Forecasting of the River Ganga Using Support Vector Machines
Chapter 10. Interference Management Techniques for Device-to-Device Communications

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