CrowdKDD 2012 - KDD 2012 Workshop on Crowdsourcing and Data Mining
Topics/Call fo Papers
The KDD 2012 Workshop on Crowdsourcing for Data Mining solicit submissions of papers describing original research addressing data mining challenges in association with crowdsourcing. This includes but is not restricted to the following topics:
Novel mechanisms and tools (e.g., human computation, gamification) for engaging users in data generation tasks
Cleaning and quality control of data collected via crowdsourcing
Learning with multiple imperfect labelers
Techniques for identifying and mitigating spam and abuse in crowdsourcing tasks
Large-scale knowledge discovery and performance evaluation with the support of crowd
Use cases and applications of data mining related to crowdsourcing
User models and human factors in designing crowdsourcing systems e.g. incentives, cognitive bias, bounded rationality, etc.
Performance evaluation and economical analysis for crowdsourcing based data mining applications
We especially welcome innovative data mining solutions and case studies involving significant use of a crowdsourcing platform such as Amazon's Mechanical Turk, Crowdflower, etc.
SUBMISSION INSTRUCTIONS
Submissions should report new (unpublished) research results or ongoing research. A Papers should be no more than 9 pages total in length. The format is the standard double-column ACM Proceedings Style. Additional information about formatting and style files are available online at:
http://www.acm.org/sigs/publications/proceedings-t...
Papers should be submitted through the Workshop's EasyChair system . If you do not have an EasyChair account you will need to create one in order to submit a paper.
http://www.cse.ust.hk/~nliu/crowdkdd12/cfp.html
IMPORTANT DATES
Submissions due: May 10, 2012
Notification of acceptance: June 10, 2012
Camera-ready submission: June 15, 2012
Workshop date: August 12 , 2012
Novel mechanisms and tools (e.g., human computation, gamification) for engaging users in data generation tasks
Cleaning and quality control of data collected via crowdsourcing
Learning with multiple imperfect labelers
Techniques for identifying and mitigating spam and abuse in crowdsourcing tasks
Large-scale knowledge discovery and performance evaluation with the support of crowd
Use cases and applications of data mining related to crowdsourcing
User models and human factors in designing crowdsourcing systems e.g. incentives, cognitive bias, bounded rationality, etc.
Performance evaluation and economical analysis for crowdsourcing based data mining applications
We especially welcome innovative data mining solutions and case studies involving significant use of a crowdsourcing platform such as Amazon's Mechanical Turk, Crowdflower, etc.
SUBMISSION INSTRUCTIONS
Submissions should report new (unpublished) research results or ongoing research. A Papers should be no more than 9 pages total in length. The format is the standard double-column ACM Proceedings Style. Additional information about formatting and style files are available online at:
http://www.acm.org/sigs/publications/proceedings-t...
Papers should be submitted through the Workshop's EasyChair system . If you do not have an EasyChair account you will need to create one in order to submit a paper.
http://www.cse.ust.hk/~nliu/crowdkdd12/cfp.html
IMPORTANT DATES
Submissions due: May 10, 2012
Notification of acceptance: June 10, 2012
Camera-ready submission: June 15, 2012
Workshop date: August 12 , 2012
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Last modified: 2012-03-19 14:48:52