Big Data in Engineering Applications

✍ Scribed by Sanjiban Sekhar Roy, Pijush Samui, Ravinesh Deo, Stavros Ntalampiras

• Publisher: Springer Singapore
• Year: 2018
• Tongue: English
• Leaves: 381
• Series: Studies in Big Data 44
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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

Front Matter ....Pages i-vi
Applying Big Data Concepts to Improve Flat Steel Production Processes (Jens Brandenburger, Valentina Colla, Silvia Cateni, Antonella Vignali, Floriano Ferro, Christoph Schirm et al.)....Pages 1-20
Parallel Generation of Very High Resolution Digital Elevation Models: High-Performance Computing for Big Spatial Data Analysis (Minrui Zheng, Wenwu Tang, Yu Lan, Xiang Zhao, Meijuan Jia, Craig Allan et al.)....Pages 21-39
Big-Data Analysis of Process Performance: A Case Study of Smart Cities (Alejandro Vera-Baquero, Ricardo Colomo-Palacios)....Pages 41-63
Implementing Scalable Machine Learning Algorithms for Mining Big Data: A State-of-the-Art Survey (Marjana Prifti Skënduli, Marenglen Biba, Michelangelo Ceci)....Pages 65-81
Concepts of HBase Archetypes in Big Data Engineering (Ankur Saxena, Shivani Singh, Chetna Shakya)....Pages 83-111
Scalable Framework for Cyber Threat Situational Awareness Based on Domain Name Systems Data Analysis (R. Vinayakumar, Prabaharan Poornachandran, K. P. Soman)....Pages 113-142
Big Data in HealthCare (Margarita Ramírez Ramírez, Hilda Beatriz Ramírez Moreno, Esperanza Manrique Rojas)....Pages 143-159
Facing Up to Nomophobia: A Systematic Review of Mobile Phone Apps that Reduce Smartphone Usage (David Bychkov, Sean D. Young)....Pages 161-171
A Fast DBSCAN Algorithm with Spark Implementation (Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok Choudhary)....Pages 173-192
Understanding How Big Data Leads to Social Networking Vulnerability (Romany F. Mansour)....Pages 193-201
Big Data Applications in Health Care and Education (B. K. Tripathy)....Pages 203-219
BWT: An Index Structure to Speed-Up Both Exact and Inexact String Matching (Yangjun Chen, Yujia Wu)....Pages 221-264
Traffic Condition Monitoring Using Social Media Analytics (Taiwo Adetiloye, Anjali Awasthi)....Pages 265-278
Modelling of Pile Drivability Using Soft Computing Methods (Wengang Zhang, Anthony T. C. Goh)....Pages 279-301
Three Different Adaptive Neuro Fuzzy Computing Techniques for Forecasting Long-Period Daily Streamflows (Ozgur Kisi, Jalal Shiri, Sepideh Karimi, Rana Muhammad Adnan)....Pages 303-321
Prediction of Compressive Strength of Geopolymers Using Multi-objective Feature Selection (Lasyamayee Garanayak, Sarat Kumar Das, Ranajeet Mohanty)....Pages 323-346
Application of Big Data Analysis to Operation of Smart Power Systems (Sajad Madadi, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Sajjad Tohidi)....Pages 347-362
A Structural Graph-Coupled Advanced Machine Learning Ensemble Model for Disease Risk Prediction in a Telehealthcare Environment (Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Mohammed Diykh, Jerry Chun-Wei Lin)....Pages 363-384

✦ Subjects

Engineering; Computational Intelligence; Big Data; Computational Science and Engineering