Big Data Technologies and Applications [electronic resource]

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Tác giả: Borko Furht, Flavio Villanustre

Ngôn ngữ:

ISBN-13: 978-3319445502

Ký hiệu phân loại: 004.6 Interfacing and communications

Thông tin xuất bản: Cham : Springer International Publishing : Imprint: Springer, 2016.

Mô tả vật lý: XVIII, 400 p. 118 illus. , online resource.

Bộ sưu tập: Tài liệu truy cập mở

ID: 328170

 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. .
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