Big Data Technology and Applications [electronic resource] : First National Conference, BDTA 2015, Harbin, China, December 25-26, 2015. Proceedings / edited by Wenguang Chen, Guisheng Yin, Gansen Zhao, Qilong Han, Weipeng Jing, Guanglu Sun, Zeguang Lu.
Contributor(s): Chen, Wenguang [editor.] | Yin, Guisheng [editor.] | Zhao, Gansen [editor.] | Han, Qilong [editor.] | Jing, Weipeng [editor.] | Sun, Guanglu [editor.] | Lu, Zeguang [editor.] | SpringerLink (Online service).
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BookSeries: Communications in Computer and Information Science: 590Publisher: Singapore : Springer Singapore : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XI, 324 p. 132 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811004575.Subject(s): Computer science | Computers | Data mining | Information storage and retrieval | Computer simulation | Computer Science | Data Mining and Knowledge Discovery | Models and Principles | Information Storage and Retrieval | Simulation and ModelingAdditional physical formats: Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
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Springer eBooksSummary: 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.
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.
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