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Preventing Discriminatory Decision-making in Evolving Data ..:

, In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency,

Wang, Zichong ; Saxena, Nripsuta ; Yu, Tongjia... - p. 149-159 , 2023

Link: https://dl.acm.org/doi/10.1145/3593013.3593984

RT 
T1 <cTitle>Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>Preventing Discriminatory Decision-making in Evolving Data Streams</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3593984&Exemplar=1&LAN=DE
				
A1 Wang, Zichong
A1 Saxena, Nripsuta
A1 Yu, Tongjia
A1 Karki, Sneha
A1 Zetty, Tyler
A1 Haque, Israat
A1 Zhou, Shan
A1 Kc, Dukka
A1 Stockwell, Ian
A1 Wang, Xuyu
A1 Bifet, Albert
A1 Zhang, Wenbin
PB ACM
YR 2023
K1 Concept Drift
K1 Data Stream
K1 Fairness
K1 Fairness Drift
K1 Computing methodologies
K1 Machine learning
K1 Theory of computation
K1 Models of computation
K1 Interactive computation
K1 Streaming models
K1 Design and analysis of algorithms
K1 Online algorithms
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Information systems
K1 Data management systems
K1 Database design and models
K1 Data model extensions
K1 Information systems applications
K1 Data mining
K1 Data stream mining
K1 Online learning theory
K1 Learning settings
K1 Online learning settings
K1 Data streams
SP 149
OP 159
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3593013.3593984
DO https://dl.acm.org/doi/10.1145/3593013.3593984
SF ELIB - SuUB Bremen

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