Large scale and big data:

Contributor(s):

Material type: Text

TextPublication details: London: CRC Press, 2014Description: xiii, 622pISBN:

9781466581500

Subject(s):

DDC classification:

005.7 LAR

Summary: This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leading researchers, academics, and practitioners in the field, all of which have been reviewed by independent reviewers. The book covers the latest research discoveries and applications. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.

Item type:

Book

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	IIM Kashipur	005.7 LAR (Browse shelf(Opens below))	Available		6229

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Previous	005.7 Teaching data analytics : pedagogy and program design /	005.7 BEA Data and society: a critical introduction/	005.7 KIT Data revolution: a critical analysis of big data, open data & data infrastructures/	005.7 LAR Large scale and big data: processing and management/	005.7 PAT Pattern recognition and big data/ edited by Amita Pal and Sankar K. Pal	005.7 SHA Big data systems: a 360-degree approach/	005.74 Blockchain for big data : AI, IoT and cloud perspectives /	Next

Includes bibliographical references and index.

This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leading researchers, academics, and practitioners in the field, all of which have been reviewed by independent reviewers. The book covers the latest research discoveries and applications. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.

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