New PDF release: Big Data and Differential Privacy: Analysis Strategies for

By Nii O. Attoh-Okine

A complete advent to the speculation and perform of latest info technology research for railway tune engineering

Featuring a realistic creation to state of the art information research for railway tune engineering, Big info and Differential privateness: research options for Railway music Engineering addresses universal matters with the implementation of massive information functions whereas exploring the restrictions, merits, and drawbacks of extra traditional equipment. additionally, the e-book offers a unifying method of studying huge volumes of knowledge 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 extraordinary purposes and implementations and highlights while a specific procedure or set of rules is fabulous. all through, the ebook offers a variety of real-world examples to demonstrate the newest railway engineering great info purposes of predictive analytics, equivalent to the Union Pacific Railroad’s use of massive information to minimize educate derailments, elevate the rate of shipments, and decrease emissions.

In addition to delivering an outline of the most recent software program instruments used to investigate the big quantity of knowledge received by way of railways, Big facts and Differential privateness: research options for Railway song Engineering:

• includes a unified framework for dealing with huge volumes of information in railway song engineering utilizing predictive analytics, computer studying, and information mining

• Explores problems with monstrous info and differential privateness and discusses many of the benefits and downsides of extra traditional facts research techniques

• Implements mammoth information purposes whereas addressing universal concerns in railway song maintenance

• Explores the benefits and pitfalls of knowledge research software program resembling R and Spark, in addition to the Apache™ Hadoop® info assortment database and its renowned implementation MapReduce

Big info and Differential privateness is a important source for researchers and pros in transportation technological know-how, railway tune engineering, layout engineering, operations learn, and railway making plans and administration. The booklet is additionally applicable for graduate classes on information research and knowledge mining, transportation technology, operations learn, 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 comprise enormous information and information technology; computational intelligence; graphical versions and trust capabilities; civil infrastructure structures; photo and sign processing; resilience engineering; and railway music research. Dr. Attoh-Okine has edited 5 books within the parts of computational intelligence, infrastructure structures and has served as an affiliate Editor of assorted ASCE and IEEE journals.

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Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering (Wiley Series in Operations Research and Management Science) by Nii O. Attoh-Okine

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