9783319277615-3319277618-Big Data Concepts, Theories, and Applications

Big Data Concepts, Theories, and Applications

ISBN-13: 9783319277615
ISBN-10: 3319277618
Edition: 1st ed. 2016
Author: Song Guo, Shui Yu
Publication date: 2016
Publisher: Springer
Format: Hardcover 445 pages
FREE US shipping
Buy

From $44.70

Book details

ISBN-13: 9783319277615
ISBN-10: 3319277618
Edition: 1st ed. 2016
Author: Song Guo, Shui Yu
Publication date: 2016
Publisher: Springer
Format: Hardcover 445 pages

Summary

Big Data Concepts, Theories, and Applications (ISBN-13: 9783319277615 and ISBN-10: 3319277618), written by authors Song Guo, Shui Yu, was published by Springer in 2016. With an overall rating of 3.7 stars, it's a notable title among other Internet & Networking (Hardware & DIY) books. You can easily purchase or rent Big Data Concepts, Theories, and Applications (Hardcover) from BooksRun, along with many other new and used Internet & Networking books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly.

After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science.

Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.
Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book