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Ooi Beng Chin 黄铭钧

Databases, Machine Learning and Systems

 
 
 

日志

 
 

Database Self-Assessment Meeting at Beckman Center (13-14 Oct)  

2013-10-15 02:11:45|  分类: 默认分类 |  标签: |举报 |字号 订阅

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I attended the meeting at Beckman Center, UCI.  I presented my 5 minute pitch on "Contextual Crowd Intelligence"[1].  It is about engaging and exploiting real users who are subject matter experts as HIT workers and reviewers for improving the accuracy of analytics and usability of database applications.  Take the healthcare system for example, medical specialists help provide the missing class labels, and define rules and heuristics that may evolve over time, and help check if the machine makes the right prediction based on historical and real-time data.   This is to include "crowdsourcing" within database application and adopt a machine-human processing strategy, where the crowd are users  (not unknown HITs who provide the service for a fee) who have the domain knowledge and rich experience [2].

For full Beckman report, please see [3].

 

Reference:

[1] B.C. Ooi: Contextual Crowd Intelligence. October 2013.

[2] B. C. Ooi, K.-L. Tan, Q.T. Tran, J.W.L. Yip, G. Chen, Z.J. Ling, T. Nguyen, A.K.H. Tung, M. Zhang: Contextual Crowd Intelligence. SIGKDD Exploration, 2014 (to appear).

[3] http://beckman.cs.wisc.edu/

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