Big Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.

Table of Contents

Chapter 1 Applying Big Data Concepts To Improve Flat Steel Production Processes
Chapter 2 Parallel Generation Of Very High Resolution Digital Elevation Models: High-Performance Computing For Big Spatial Data Analysis
Chapter 3 Big-Data Analysis Of Process Performance: A Case Study Of Smart Cities
Chapter 4 Implementing Scalable Machine Learning Algorithms For Mining Big Data: A State-Of-The-Art Survey
Chapter 5 Concepts Of Hbase Archetypes In Big Data Engineering
Chapter 6 Scalable Framework For Cyber Threat Situational Awareness Based On Domain Name Systems Data Analysis
Chapter 7 Big Data In Healthcare
Chapter 8 Facing Up To Nomophobia: A Systematic Review Of Mobile Phone Apps That Reduce Smartphone Usage
Chapter 9 A Fast Dbscan Algorithm With Spark Implementation
Chapter 10 Understanding How Big Data Leads To Social Networking Vulnerability
Chapter 11 Big Data Applications In Health Care And Education
Chapter 12 Bwt: An Index Structure To Speed-Up Both Exact And Inexact String Matching
Chapter 13 Traffic Condition Monitoring Using Social Media Analytics
Chapter 14 Modelling Of Pile Drivability Using Soft Computing Methods
Chapter 15 Three Different Adaptive Neuro Fuzzy Computing Techniques For Forecasting Long-Period Daily Streamflows
Chapter 16 Prediction Of Compressive Strength Of Geopolymers Using Multi-Objective Feature Selection
Chapter 17 Application Of Big Data Analysis To Operation Of Smart Power Systems