Predictive Intelligence Using Big Data and the Internet of Things

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.

Summary

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. Coverage includes predictive application scenarios and various methods, frameworks, algorithms, and security concerns for predictive intelligence.

Product details

• Assisted by: P. K. Gupta (Editor), P.K. Gupta (Editor), Tuncer OEren (Editor), Tuncer Ören (Editor), Mayank Singh (Editor)
• Publisher: Engineering Science Reference
• Languages: English
• Product format: Hardback
• Released: 31.12.2018
• EAN: 9781522562108
• ISBN: 978-1-5225-6210-8
• No. of pages: 324
• Dimensions: 221 mm x 286 mm x 22 mm
• Weight: 1078 g
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks