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

By:

Srinivasa, Srinath [editor.]

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Computer Science ; 8883Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: X, 197 p. 83 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319138206

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

006.312 23

LOC classification:

QA76.9.D343

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 eBooksSummary: 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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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
E-Book	Central Library		Available		E-42310

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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