Fundamentals of big data : network analysis for research and industry /
Lee, Hyunjoung,
Fundamentals of big data : network analysis for research and industry / Hyunjoung Lee and Il Sohn. - 1 online resource
Includes bibliographical references and index.
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.
9781119015574 111901557X 9781119015499 1119015499 9781119015451 1119015456 1119015588 9781119015581
2015036339
Data mining.
Big data.
Decision making--Data processing.
Exploration de donn�ees (Informatique)
Donn�ees volumineuses.
Prise de d�ecision--Informatique.
COMPUTERS--General.
Big data
Data mining
Decision making--Data processing
QA76.9.D343
006.3/12
Fundamentals of big data : network analysis for research and industry / Hyunjoung Lee and Il Sohn. - 1 online resource
Includes bibliographical references and index.
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.
9781119015574 111901557X 9781119015499 1119015499 9781119015451 1119015456 1119015588 9781119015581
2015036339
Data mining.
Big data.
Decision making--Data processing.
Exploration de donn�ees (Informatique)
Donn�ees volumineuses.
Prise de d�ecision--Informatique.
COMPUTERS--General.
Big data
Data mining
Decision making--Data processing
QA76.9.D343
006.3/12