Cognitive Computing for Big Data Systems Over IoT: Frameworks, Tools and Applications

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge

The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective.

Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice.

This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

Table of Contents

Chapter 1 Beyond Automation: The Cognitive Iot. Artificial Intelligence Brings Sense To The Internet Of Things
Chapter 2 Cybercrimes Investigation And Intrusion Detection In Internet Of Things Based On Data Science Methods
Chapter 3 Modelling And Analysis Of Multi-Objective Service Selection Scheme In Iot-Cloud Environment
Chapter 4 Cognitive Data Science Automatic Fraud Detection Solution, Based On Benford’S Law, Fuzzy Logic With Elements Of Machine Learning
Chapter 5 Reliable Cross Layer Design For E-Health Applications—Iot Perspective
Chapter 6 Erasure Codes For Reliable Communication In Internet Of Things (Iot) Embedded With Wireless Sensors
Chapter 7 Review: Security And Privacy Issues Of Fog Computing For The Internet Of Things (Iot)
Chapter 8 A Review On Security And Privacy Challenges Of Big Data
Chapter 9 Recent Trends In Deep Learning With Applications
Chapter 10 High-Level Knowledge Representation And Reasoning In A Cognitive Iot/Wot Context
Chapter 11 Applications Of Iot In Healthcare
Chapter 12 Security Stipulations On Iot Networks
Chapter 13 A Hyper Heuristic Localization Based Cloned Node Detection Technique Using Gsa Based Simulated Annealing In Sensor Networks
Chapter 14 Review On Analysis Of The Application Areas And Algorithms Used In Data Wrangling In Big Data
Chapter 15 An Innovation Model For Smart Traffic Management System Using Internet Of Things (Iot)