A Survey on Crowdsourced Data Management
PhD Qualifying Examination
Title: "A Survey on Crowdsourced Data Management"
Mr. Zheng LIU
Crowdsourcing has been proved to an effective way to harness the human
intelligence. To optimize the performance of crowdsourcing, several important
issues need to be addressed, such as: how to effectively motivate the workers'
participation and how to reduce the workers' error rate as much as possible. We
identify four major types of data management techniques playing important roles
in crowdsourcing, which are: incentive design, task allocation, worker
evaluation and answer integration. In this paper, a comprehensive survey is
made for the representative works in these areas.
Date: Wednesday, 22 March 2017
Time: 10:00am - 12:00noon
Venue: Room 4475
Committee Members: Prof. Lei Chen (Supervisor)
Dr. Ke Yi (Chairperson)
Dr. Qiong Luo
Dr. Yangqiu Song
**** ALL are Welcome ****