Big Data Technologies and Applications High quality books
Big Data Technologies and Applications
By:Borko Furht,Flavio Villanustre
Published on 2016-09-16 by Springer
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.
This Book was ranked at 24 by Google Books for keyword Paper.
Book ID of Big Data Technologies and Applications's Books is 5n8XDQAAQBAJ, Book which was written byBorko Furht,Flavio Villanustrehave ETAG "HuzzGufTY5E"
Book which was published by Springer since 2016-09-16 have ISBNs, ISBN 13 Code is 9783319445502 and ISBN 10 Code is 3319445502
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