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A Sampling-Based System for Approximate Big Data Analysis o..:

, In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management,

Salloum, Salman ; Wu, Yinxu ; Huang, Joshua Zhexue - p. 2481-2484 , 2019

Link: https://dl.acm.org/doi/10.1145/3357384.3358124

RT 
T1 <cTitle>Proceedings of the 28th ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3358124&Exemplar=1&LAN=DE
				
A1 Salloum, Salman
A1 Wu, Yinxu
A1 Huang, Joshua Zhexue
PB ACM
YR 2019
K1 approximate computing
K1 big data
K1 block-level sampling
K1 cluster computing
K1 random sample partition
K1 Information systems
K1 Information systems applications
K1 Data mining
K1 Computing methodologies
K1 Parallel computing methodologies
K1 Parallel algorithms
K1 MapReduce algorithms
K1 Machine learning
K1 Machine learning algorithms
K1 Ensemble methods
K1 Distributed computing methodologies
K1 Computer systems organization
K1 Architectures
K1 Distributed architectures
SP 2481
OP 2484
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3357384.3358124
DO https://dl.acm.org/doi/10.1145/3357384.3358124
SF ELIB - SuUB Bremen

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