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Using the ID3 symbolic classification algorithm to reduce d..:

, In: Proceedings of the 1994 ACM symposium on Applied computing,

Flachsbart, Barry ; Bond, W. E. ; St. Clair, Daniel C.. - p. 292-296 , 1994

Link: https://dl.acm.org/doi/10.1145/326619.326750

RT 
T1 <cTitle>Proceedings of the 1994 ACM symposium on Applied computing</cTitle>: T1 <Title>Using the ID3 symbolic classification algorithm to reduce data density</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-326750&Exemplar=1&LAN=DE
				
A1 Flachsbart, Barry
A1 Bond, W. E.
A1 St. Clair, Daniel C.
A1 Holland, Jeff
PB ACM
YR 1994
K1 ID3
K1 classification
K1 learning
K1 modeling
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Machine learning approaches
K1 Classification and regression trees
K1 Mathematics of computing
K1 Discrete mathematics
K1 Graph theory
K1 Information systems
K1 Information systems applications
K1 Decision support systems
K1 Applied computing
K1 Operations research
K1 Decision analysis
K1 Modeling and simulation
K1 Model development and analysis
K1 Model verification and validation
SP 292
OP 296
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/326619.326750
DO https://dl.acm.org/doi/10.1145/326619.326750
SF ELIB - SuUB Bremen

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