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Feature Selection Methods for Linked Data: Limitations, Cap..:

, In: Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies,

Cherrington, Marianne ; Airehrour, David ; Lu, Joan... - p. 103-112 , 2019

Link: https://dl.acm.org/doi/10.1145/3365109.3368792

RT 
T1 <cTitle>Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies</cTitle>: T1 <Title>Feature Selection Methods for Linked Data: Limitations, Capabilities and Potentials</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3368792&Exemplar=1&LAN=DE
				
A1 Cherrington, Marianne
A1 Airehrour, David
A1 Lu, Joan
A1 Xu, Qiang
A1 Wade, Stephen
A1 Madanian, Samaneh
PB ACM
YR 2019
K1 dimensionality reduction
K1 feature selection (fs)
K1 heterogeneous data
K1 high-dimensional data (hdd)
K1 linked data (ld)
K1 Information systems
K1 Information retrieval
K1 Document representation
K1 Content analysis and feature selection
K1 Mathematics of computing
K1 Discrete mathematics
K1 Graph theory
K1 Graph algorithms
K1 Probability and statistics
K1 Statistical paradigms
K1 Dimensionality reduction
SP 103
OP 112
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3365109.3368792
DO https://dl.acm.org/doi/10.1145/3365109.3368792
SF ELIB - SuUB Bremen

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