Big Data Analytics [electronic resource] : Second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, Proceedings / edited by Vasudha Bhatnagar, Srinath Srinivasa.

Contributor(s): Bhatnagar, Vasudha [editor.] | Srinivasa, Srinath [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science ; 8302Publisher: Cham : Springer International Publishing : Imprint: Springer, 2013Description: XII, 197 p. 50 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319036892Subject(s): Computer science | Computer software | Database management | Data mining | Information storage and retrieval systems | Computer Science | Data Mining and Knowledge Discovery | Database Management | Information Storage and Retrieval | Algorithm Analysis and Problem ComplexityAdditional physical formats: Printed edition:: No titleDDC classification: 006.312 LOC classification: QA76.9.D343Online resources: Click here to access online
Contents:
Mining Social Media Data -- Perspectives on Big Data Analytics -- Graph Analytics -- Big Data in Practice.
In: Springer eBooksSummary: This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013. The 13 revised full papers were carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis, big data in practice.
Item type: E-BOOKS
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Mining Social Media Data -- Perspectives on Big Data Analytics -- Graph Analytics -- Big Data in Practice.

This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013. The 13 revised full papers were carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis, big data in practice.

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