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1 Ergebnisse
1
Entity Matching in the Wild: A Consistent and Versatile Fra..:
, In:
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
,
Yan, Yan
;
Meyles, Stephen
;
Haghighi, Aria
. - p. 2287-2301 , 2020
Link:
https://dl.acm.org/doi/10.1145/3318464.3386143
RT T1 <cTitle>Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data</cTitle>: T1 <Title>Entity Matching in the Wild: A Consistent and Versatile Framework to Unify Data in Industrial Applications</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3386143&Exemplar=1&LAN=DE A1 Yan, Yan A1 Meyles, Stephen A1 Haghighi, Aria A1 Suciu, Dan PB ACM YR 2020 K1 cluster id assignment K1 conflict resolution in clustering K1 multi-level entity matching K1 Information systems K1 Data management systems K1 Information integration K1 Deduplication K1 Entity resolution K1 Information systems applications K1 Data mining K1 Clustering K1 Data cleaning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 2287 OP 2301 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3318464.3386143 DO https://dl.acm.org/doi/10.1145/3318464.3386143 SF ELIB - SuUB Bremen
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