Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (7 chapters)
Reviews
“The book not only provides readers with a fundamental understanding of big data, but also points to many future research topics and directions. … it covers comprehensive aspects of big data and provides abundant references. I believe that it will be a valuable resource for researchers working with big data, especially those working in computer science, computer engineering, or related fields.” (I-Lun Tseng, Computing Reviews, June, 2015)
“This book provides a big picture in this broad research area, covering all the phases of its value chains. … The book presents an overview on different phrases of big data value chain. … I would like to recommend this book to researchers and industrial practitioners who work with big data, and it is also useful for researchers in relevant areas such as parallel computing, NoSQL Database, machine learning and data analytics.” (Gang Li, Information Technology and Tourism, Vol. 15, 2015)
“The authors’ knowledge of information and communications technology (ICT) and teaching experience allow them to give a very good comprehensive overview of big data and related themes, providing a thorough and timely exploration of this broad new field. … Each chapter starts with an abstract, and then the themes are demonstrated from many perspectives in the following sections. … I recommend this introductory book … for those who want to understand problems and solutions regarding big data.” (K. Balogh, Computing Reviews, November, 2014)Authors and Affiliations
Bibliographic Information
Book Title: Big Data
Book Subtitle: Related Technologies, Challenges and Future Prospects
Authors: Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-06245-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2014
Softcover ISBN: 978-3-319-06244-0Published: 15 May 2014
eBook ISBN: 978-3-319-06245-7Published: 05 May 2014
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XII, 89
Number of Illustrations: 8 b/w illustrations
Topics: Information Systems and Communication Service, Database Management, Computer Communication Networks, Information Systems Applications (incl. Internet), Data Mining and Knowledge Discovery