TY  - BOOK
AU  - Lee,Hyunjoung
AU  - Sohn,Il
TI  - Fundamentals of big data: network analysis for research and industry 
SN  - 9781119015574
AV  - QA76.9.D343 
U1  - 006.3/12 23
PY  - 2015///
CY  - Chichester, UK, Hoboken, NJ
PB  - John Wiley & Sons
KW  - Data mining
KW  - Big data
KW  - Decision making
KW  - Data processing
KW  - Exploration de donn�ees (Informatique)
KW  - Donn�ees volumineuses
KW  - Prise de d�ecision
KW  - Informatique
KW  - COMPUTERS
KW  - General
KW  - bisacsh
KW  - fast
N1  - Includes bibliographical references and index
N2  - Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University, Republic of Korea Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea Presents the methodology of big data analysis using examples from research and industry There are large amounts of data everywhere, and the ability to pick out crucial information is increasingly important. Contrary to popular belief, not all information is useful; big data network analysis assumes that data is not only large, but also meaningful, and this book focuses on the fundamental techniques required to extract essential information from vast datasets. Featuring case studies drawn largely from the iron and steel industries, this book offers practical guidance which will enable readers to easily understand big data network analysis. Particular attention is paid to the methodology of network analysis, offering information on the method of data collection, on research design and analysis, and on the interpretation of results. A variety of programs including UCINET, NetMiner, R, NodeXL, and Gephi for network analysis are covered in detail. Fundamentals of Big Data Network Analysis for Research and Industry looks at big data from a fresh perspective, and provides a new approach to data analysis
UR  - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119015451
ER  -