By Nii O. Attoh-Okine
A entire advent to the idea and perform of latest information technology research for railway tune engineering
Featuring a realistic advent to cutting-edge information research for railway music engineering, Big facts and Differential privateness: research ideas for Railway song Engineering addresses universal matters with the implementation of huge information purposes whereas exploring the restrictions, merits, and drawbacks of extra traditional equipment. furthermore, the ebook offers a unifying method of examining huge volumes of information in railway tune engineering utilizing an array of confirmed equipment and software program technologies.
Dr. Attoh-Okine considers a few of today’s such a lot impressive purposes and implementations and highlights whilst a specific process or set of rules is correct. all through, the e-book provides various real-world examples to demonstrate the newest railway engineering huge info functions of predictive analytics, reminiscent of the Union Pacific Railroad’s use of massive information to minimize teach derailments, raise the rate of shipments, and decrease emissions.
In addition to delivering an outline of the newest software program instruments used to research the massive quantity of knowledge got through railways, Big facts and Differential privateness: research innovations for Railway tune Engineering:
• includes a unified framework for dealing with huge volumes of knowledge in railway song engineering utilizing predictive analytics, computing device studying, and knowledge mining
• Explores problems with tremendous info and differential privateness and discusses many of the benefits and downsides of extra traditional information research techniques
• Implements massive info purposes whereas addressing universal concerns in railway tune maintenance
• Explores the benefits and pitfalls of knowledge research software program comparable to R and Spark, in addition to the Apache™ Hadoop® info assortment database and its well known implementation MapReduce
Big information and Differential privateness is a invaluable source for researchers and pros in transportation technology, railway song engineering, layout engineering, operations examine, and railway making plans and administration. The e-book is usually applicable for graduate classes on facts research and knowledge mining, transportation technology, operations study, and infrastructure management.
NII ATTOH-OKINE, PhD, PE is Professor within the division of Civil and Environmental Engineering on the collage of Delaware. the writer of over 70 magazine articles, his major components of analysis contain vast info and knowledge technology; computational intelligence; graphical versions and trust services; civil infrastructure platforms; picture and sign processing; resilience engineering; and railway tune research. Dr. Attoh-Okine has edited 5 books within the parts of computational intelligence, infrastructure structures and has served as an affiliate Editor of varied ASCE and IEEE journals.
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