Fundamentals of big data network analysis for research and industry / Hyunjoung Lee and Il Sohn.
Material type:
TextPublication details: Chichester : John Wiley, ©2016.Description: xviii, 196 p. : illustrations ; 24 cmISBN: - 9781119015581
- 006.312 23 L478
| 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 |
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| 006.312 L331 Data mining and predictive analytics / | 006.312 L474 Data mining and business analytics with R / | 006.312 L474 Data mining and business analytics with R / | 006.312 L478 Fundamentals of big data network analysis for research and industry / | 006.312 L693 Spatial data mining : | 006.312 M664 Practical text mining and statistical analysis for non-structured text data applications | 006.312 M675 Clustering : a data recovery approach / |
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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