@inproceedings{4a4734607d6d44a9ba8eb3354ae51763,
title = "Data-driven crowdsourcing: Management, mining, and applications",
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.",
author = "Lei Chen and Dongwon Lee and Tova Milo",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE; 2015 31st IEEE International Conference on Data Engineering, ICDE 2015 ; Conference date: 13-04-2015 Through 17-04-2015",
year = "2015",
doi = "https://doi.org/10.1109/ICDE.2015.7113418",
language = "الإنجليزيّة",
series = "Proceedings - International Conference on Data Engineering",
publisher = "IEEE Computer Society",
pages = "1527--1529",
booktitle = "2015 IEEE 31st International Conference on Data Engineering",
address = "الولايات المتّحدة",
}