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  • 1. Introduction (1-20); 2. Neylon, Cameron: Working with web data and APIs (23-70); Tokle, Joshua; Bender, Stefan: Record linkage (71-92); 3. Foster, Ian; Heus, Pascal: Databases (93-124); 5. Vo, Huy; Silva, Claudia: Programming with big data (125-144); 6. Ghani, Rayid; Schierholz, Malte: Machine learning (147-186); 7. Klochikhin, Evgeny; Boyd-Graber, Jordan: Text analysis (187-214); 8. Owen-Smith, Jason: Networks: the basics (215-240); 9. Yalcun, M. Adil; Plaisant, Catherine: Information visualization (243-264); 10. Biemer, Paul B.: Errors and inference (265-298); 11. Bender, Stefan; Jarmin, Ron; Kreuter, Frauke; Lane, Julia: Privacy and confidentiality (299-312); 12. Morgan, Jonathan Scott; Jones, Christina; Emad, Ahmad: Workbooks (313-320). (xsd:string)
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  • 2017 (xsd:gyear)
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  • 2017 (xsd:gyear)
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  • Big data and social science : a practical guide to methods and tools (xsd:string)
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  • Boca Raton: CRC Press, 2017.- XIX, 356 S., Ill. (xsd:string)
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