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Big Data Analytics [electronic resource] : Third International Conference, BDA 2014, New Delhi, India, December 20-23, 2014. Proceedings / edited by Srinath Srinivasa, Sameep Mehta.

Contributor(s): Srinivasa, Srinath [editor.] | Mehta, Sameep [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 8883Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014.Description: X, 197 p. 83 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319138206.Subject(s): Data mining | Database management | Information storage and retrieval systems | Algorithms | Data Mining and Knowledge Discovery | Database Management | Information Storage and Retrieval | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
Contents:
Media analytics -- Geospatial big data -- Semantics and data models -- Search and retrieval -- Graphics and visualization -- Application-specific big data.
In: Springer Nature eBookSummary: This book constitutes the refereed conference proceedings of the Third International Conference on Big Data Analytics, BDA 2014, held in New Delhi, India, in December 2014. The 11 revised full papers and 6 short papers were carefully reviewed and selected from 35 submissions and cover topics on media analytics; geospatial big data; semantics and data models; search and retrieval; graphics and visualization; application-specific big data.
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Media analytics -- Geospatial big data -- Semantics and data models -- Search and retrieval -- Graphics and visualization -- Application-specific big data.

This book constitutes the refereed conference proceedings of the Third International Conference on Big Data Analytics, BDA 2014, held in New Delhi, India, in December 2014. The 11 revised full papers and 6 short papers were carefully reviewed and selected from 35 submissions and cover topics on media analytics; geospatial big data; semantics and data models; search and retrieval; graphics and visualization; application-specific big data.

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