• DocumentCode
    710172
  • Title

    Data-driven crowdsourcing: Management, mining, and applications

  • Author

    Lei Chen ; Dongwon Lee ; Milo, Tova

  • Author_Institution
    HKUST, Kowloon, China
  • fYear
    2015
  • fDate
    13-17 April 2015
  • Firstpage
    1527
  • Lastpage
    1529
  • Abstract
    In this 3-hour tutorial, we present the landscape of recent developments in data management and mining research, and survey a selected set of state-of-the-art works that significantly extended existing database reserach in order to incorporate and exploit the novel notion of “crowdsourcing” in a creative fashion. In particular, three speakers take turns to present the topics of human-powered database operations, crowdsourced data mining, and the application of crowdsourcing in social media, respectively.
  • Keywords
    data mining; social networking (online); crowdsourced data mining; data management; data-driven crowdsourcing; human-powered database operations; social media; Crowdsourcing; Data mining; Databases; Media; Sociology; Statistics; Tutorials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2015 IEEE 31st International Conference on
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/ICDE.2015.7113418
  • Filename
    7113418