Maximizing benefits from crowdsourced data

Computational and Mathematical Organization Theory

Volumn 18, Issue 3, 2012, Pages 257-279

  Barbier, Geoffrey ^a   Zafarani, Reza ^b   Gao, Huiji ^b   Fung, Gabriel ^c   Liu, Huan ^b  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c IGNGAB Lab   (China)

Author keywords

Community maps; Crisis maps; Crowdsourcing; Data mining; Event maps; Humanitarian Aid and Disaster Relief (HADR); Machine learning; Social media

Indexed keywords

EID: 84865435509     PISSN: 1381298X     EISSN: 15729346     Source Type: Journal    
DOI: 10.1007/s10588-012-9121-2     Document Type: Article

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