Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Communications in Computer and Information Science (CCIS, volume 590)
Conference series link(s): BDTA: National Conference on Big Data Technology and Applications
Conference proceedings info: BDTA 2015.
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Table of contents (28 papers)
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Front Matter
About this book
This book constitutes the refereed proceedings of the First National Conference on Big Data Technology and Applications, BDTA 2015, held in Harbin, China, in December 2015.
The 26 revised papers presented were carefully reviewed and selected from numerous submissions. The papers address issues such as the storage technology of Big Data; analysis of Big Data and data mining; visualization of Big Data; the parallel computing framework under Big Data; the architecture and basic theory of Big Data; collection and preprocessing of Big Data; innovative applications in some areas, such as internet of things and cloud computing.
Editors and Affiliations
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Tsinghua University, Dept. of Computer Science and Technology, Beijing, China
Wenguang Chen
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Harbin Engineering University, China
Guisheng Yin, Qilong Han
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South China Normal University, Guangzhou, China
Gansen Zhao
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Northeast Forestry University, Harbin, China
Weipeng Jing
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Harbin Univ. of Science and Technology, Harbin, China
Guanglu Sun
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Harbin Sea of Clouds & Computer Tech., Harbin, China
Zeguang Lu
Bibliographic Information
Book Title: Big Data Technology and Applications
Book Subtitle: First National Conference, BDTA 2015, Harbin, China, December 25-26, 2015. Proceedings
Editors: Wenguang Chen, Guisheng Yin, Gansen Zhao, Qilong Han, Weipeng Jing, Guanglu Sun, Zeguang Lu
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-981-10-0457-5
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media Singapore 2016
Softcover ISBN: 978-981-10-0456-8Published: 03 February 2016
eBook ISBN: 978-981-10-0457-5Published: 02 February 2016
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XI, 324
Number of Illustrations: 132 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Models and Principles, Information Storage and Retrieval, Simulation and Modeling