Fundamentals of big data : network analysis for research and industry
By: Lee, Hyunjoung
Title By: Sohn, Il
Material type:
BookPublisher: Wiley-Blackwell, 2016.Edition: First edition.Description: xviii, 196 p. : ill. ; 24 cm.ISBN: 9781119015581Subject(s): Data mining | Big data | Decision making -- Data processingDDC classification: 006.312 LE FU Online resources: Location Map
Summary:
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.
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 006.312 LE FU (Browse shelf) | Available | T0056432 |
Total holds: 0
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| 006.312 KH SE Seven layers of social media analytics : | 006.312 LE AD Leading issues in social media research : | 006.312 LE DA Data mining and business analytics with R | 006.312 LE FU Fundamentals of big data : | 006.312 LO SO Social media management : | 006.312 ME DA Data mining mobile devices / | 006.312 MI NI Mining user generated content |
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.