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PrIU: A Provenance-Based Approach for Incrementally Updatin..:
, In:
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
,
Wu, Yinjun
;
Tannen, Val
;
Davidson, Susan B.
- p. 447-462 , 2020
Link:
https://dl.acm.org/doi/10.1145/3318464.3380571
RT T1 <cTitle>Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data</cTitle>: T1 <Title>PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3380571&Exemplar=1&LAN=DE A1 Wu, Yinjun A1 Tannen, Val A1 Davidson, Susan B. PB ACM YR 2020 K1 data provenance K1 deletion propagation K1 machine learning K1 Information systems K1 Data management systems K1 Database design and models K1 Data model extensions K1 Data provenance K1 Theory of computation K1 Design and analysis of algorithms K1 Mathematical optimization K1 Continuous optimization K1 Convex optimization K1 Mathematics of computing K1 Probability and statistics K1 Statistical paradigms K1 Exploratory data analysis SP 447 OP 462 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3318464.3380571 DO https://dl.acm.org/doi/10.1145/3318464.3380571 SF ELIB - SuUB Bremen
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