Big Data Technology and Applications : 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 literario
| Yin, Guisheng, editor literario
| Zhao, Gansen, editor literario
| Han, Qilong, editor literario
| Jing, Weipeng, editor literario
| Sun, Guanglu, editor literario
| Lu, Zeguang, editor literario
Material type:
E-bookSeries: Publisher: Singapore : Springer, 2016Edition: 1st ed.Description: 1 recurso en línea (XI, 324 p.) 132 il. col..ISBN: 9789811004575.Subject: Datos masivos
Summary: 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.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9 .B45 B543 2016 EB (Browse shelf(Opens below)) | .i11601747 | Acceso electrónico | eBOOK .i11601747 |
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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