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BOOK : Big Data in Engineering Applications, SPRINGER.
Editors: Roy, S.S., Samui, P., Deo, R., Ntalampiras, S. (Eds.).
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Dear All,
The most anticipated book titled***Big Data in Engineering Applications***
has been published by Springer, recently.#
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. 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.
Order your book from #Springer or #Amazon
https://www.springer.com/in/book/9789811084751
https://www.amazon.com/Big-Data-Engineering-Applications-Studies/dp/9811084750
Chapters
* Applying Big Data Concepts to Improve Flat Steel Production Processes
Brandenburger, Jens (et al.)
Pages 1-20
* Parallel Generation of Very High Resolution Digital Elevation Models: High-Performance Computing for Big Spatial Data Analysis
Zheng, Minrui (et al.)
Pages 21-39
* Big-Data Analysis of Process Performance: A Case Study of Smart Cities
Vera-Baquero, Alejandro (et al.)
Pages 41-63
* Implementing Scalable Machine Learning Algorithms for Mining Big Data: A State-of-the-Art Survey
Skënduli, Marjana Prifti (et al.)
Pages 65-81
* Concepts of HBase Archetypes in Big Data Engineering
Saxena, Ankur (et al.)
Pages 83-111
* Scalable Framework for Cyber Threat Situational Awareness Based on Domain Name Systems Data Analysis
Vinayakumar, R. (et al.)
Pages 113-142
* Big Data in HealthCare
Ramírez, Margarita Ramírez (et al.)
Pages 143-159
* Facing Up to Nomophobia: A Systematic Review of Mobile Phone Apps that Reduce Smartphone Usage
Bychkov, David (et al.)
Pages 161-171
* A Fast DBSCAN Algorithm with Spark Implementation
Han, Dianwei (et al.)
Pages 173-192
* Understanding How Big Data Leads to Social Networking Vulnerability
Mansour, Romany F.
Pages 193-201
* Big Data Applications in Health Care and Education
Tripathy, B. K.
Pages 203-219
* BWT: An Index Structure to Speed-Up Both Exact and Inexact String Matching
Chen, Yangjun (et al.)
Pages 221-264
* Traffic Condition Monitoring Using Social Media Analytics
Adetiloye, Taiwo (et al.)
Pages 265-278
* Modelling of Pile Drivability Using Soft Computing Methods
Zhang, Wengang (et al.)
Pages 279-301
* Three Different Adaptive Neuro Fuzzy Computing Techniques for Forecasting Long-Period Daily Streamflows
Kisi, Ozgur (et al.)
Pages 303-321
* Prediction of Compressive Strength of Geopolymers Using Multi-objective Feature Selection
Garanayak, Lasyamayee (et al.)
Pages 323-346
* Application of Big Data Analysis to Operation of Smart Power Systems
Madadi, Sajad (et al.)
Pages 347-362
* A Structural Graph-Coupled Advanced Machine Learning Ensemble Model for Disease Risk Prediction in a Telehealthcare Environment
Lafta, Raid (et al.)
Pages 363-384
* https://goo.gl/naKoE7 #DataScience #Cloud
