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
Link To Document :
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