Cover Image
Read Now

Fog Data Analytics for IoT Applications Next Generation Process Model with State of the Art Technologies

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated sig...

Full description

Bibliographic Details
Other Authors: Tanwar, Sudeep (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2020, 2020
Edition:1st ed. 2020
Series:Studies in Big Data
Subjects:
Data Analysis And Big Data
Big Data
Computational Intelligence
Quantitative Research
Application Software
Computer And Information Systems Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Introduction to Fog data analytics for IoT applications
  • Fog Data Analytics: Systematic Computational Classification and Procedural Paradigm
  • Fog Computing: Building a Road to IoT with Fog Analytics
  • Data Collection in Fog Data Analytics
  • Mobile FOG Architecture Assisted Continuous Acquisition of Fetal ECG Data for Efficient Prediction
  • Proposed Framework for Fog Computing to Improve Quality-of-Service in IoT applications
  • Fog Data Based Statistical Analysis to Check Effects of Yajna and Mantra Science: Next Generation Health Practices
  • Process Model for Fog Data Analytics for IoT Applications
  • Medical Analytics Based on Artificial Neural Networks Using Cognitive Internet of Things

Similar Items