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AutoKnow : Self-Driving Knowledge Collection for Product..:

, In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,

Dong, Xin Luna ; He, Xiang ; Kan, Andrey... - p. 2724-2734 , 2020

Link: https://dl.acm.org/doi/10.1145/3394486.3403323

RT 
T1 <cTitle>Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>AutoKnow				: Self-Driving Knowledge Collection for Products of Thousands of Types</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3403323&Exemplar=1&LAN=DE
				
A1 Dong, Xin Luna
A1 He, Xiang
A1 Kan, Andrey
A1 Li, Xian
A1 Liang, Yan
A1 Ma, Jun
A1 Xu, Yifan Ethan
A1 Zhang, Chenwei
A1 Zhao, Tong
A1 Blanco Saldana, Gabriel
A1 Deshpande, Saurabh
A1 Michetti Manduca, Alexandre
A1 Ren, Jay
A1 Singh, Surender Pal
A1 Xiao, Fan
A1 Chang, Haw-Shiuan
A1 Karamanolakis, Giannis
A1 Mao, Yuning
A1 Wang, Yaqing
A1 Faloutsos, Christos
A1 McCallum, Andrew
A1 Han, Jiawei
PB ACM
YR 2020
K1 attribute importance
K1 data cleaning
K1 data imputation
K1 knowledge graphs
K1 synonym finding
K1 taxonomy enrichment
K1 Information systems
K1 Data management systems
K1 Database design and models
K1 Graph-based database models
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Neural networks
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Unsupervised learning
K1 Anomaly detection
K1 Supervised learning
K1 Multi-task learning
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Semi-supervised learning
SP 2724
OP 2734
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3394486.3403323
DO https://dl.acm.org/doi/10.1145/3394486.3403323
SF ELIB - SuUB Bremen

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