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Always Lurking : Understanding and Mitigating Bias in On..:

, In: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society,

Hundman, Kyle ; Gowda, Thamme ; Kejriwal, Mayank. - p. 137-143 , 2018

Link: https://dl.acm.org/doi/10.1145/3278721.3278782

RT 
T1 <cTitle>Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society</cTitle>: T1 <Title>Always Lurking				: Understanding and Mitigating Bias in Online Human Trafficking Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3278782&Exemplar=1&LAN=DE
				
A1 Hundman, Kyle
A1 Gowda, Thamme
A1 Kejriwal, Mayank
A1 Boecking, Benedikt
PB ACM
YR 2018
K1 bias mitigation
K1 clustering
K1 human trafficking
K1 text classification
K1 web crawling
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Clustering and classification
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Unsupervised learning and clustering
K1 World Wide Web
K1 Web searching and information discovery
K1 Web search engines
K1 Web crawling
K1 Mathematics of computing
K1 Probability and statistics
K1 Distribution functions
SP 137
OP 143
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3278721.3278782
DO https://dl.acm.org/doi/10.1145/3278721.3278782
SF ELIB - SuUB Bremen

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