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Fundamentals of big data network analysis for research and industry / Hyunjoung Lee and Il Sohn.

By: Contributor(s): Material type: TextTextPublication details: Chichester : John Wiley, ©2016.Description: xviii, 196 p. : illustrations ; 24 cmISBN:
  • 9781119015581
Subject(s): Additional physical formats: Online version:: Fundamentals of big dataDDC classification:
  • 006.312 23 L478
Contents:
1. Why big data? -- 2. Basic programs for analyzing networks -- 3. Understanding network analysis -- 4. Research methods using SNA -- 5. Position and structure -- 6. Connectivity and role -- 7. Data structure in netminer -- 8. Network analysis using netminer -- Appendices.
Summary: This book explains the basic concepts in understanding big data and filtering meaningful data Presents big data analysis within the networking perspective Features methodology applicable to research and industry Describes in detail the social relationship between big data and its implications Provides insight into identifying patterns and relationships between seemingly unrelated big data Fundamentals of Big Data Network Analysis for Research and Industry will prove a valuable resource for analysts, research engineers, industrial engineers, marketing professionals, and any individuals dealing with accumulated large data whose interest is to analyze and identify potential relationships among data sets.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 006.312 L478 (Browse shelf(Opens below)) Available 137377
Total holds: 0

Includes bibliographical references and index.

1. Why big data? --
2. Basic programs for analyzing networks --
3. Understanding network analysis --
4. Research methods using SNA --
5. Position and structure --
6. Connectivity and role --
7. Data structure in netminer --
8. Network analysis using netminer --
Appendices.

This book explains the basic concepts in understanding big data and filtering meaningful data Presents big data analysis within the networking perspective Features methodology applicable to research and industry Describes in detail the social relationship between big data and its implications Provides insight into identifying patterns and relationships between seemingly unrelated big data Fundamentals of Big Data Network Analysis for Research and Industry will prove a valuable resource for analysts, research engineers, industrial engineers, marketing professionals, and any individuals dealing with accumulated large data whose interest is to analyze and identify potential relationships among data sets.

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