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Feature frequency profiles for automatic sample identificat..:

, In: Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing,

Zynda, Gregory ; Gaffney, Niall ; Dalkilic, Mehmet. - p. 1-5 , 2015

Link: https://dl.acm.org/doi/10.1145/2835857.2835862

RT 
T1 <cTitle>Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing</cTitle>: T1 <Title>Feature frequency profiles for automatic sample identification using PySpark</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2835862&Exemplar=1&LAN=DE
				
A1 Zynda, Gregory
A1 Gaffney, Niall
A1 Dalkilic, Mehmet
A1 Vaughn, Matthew
PB ACM
YR 2015
K1 feature frequency profile
K1 hadoop distributed file system
K1 Software and its engineering
K1 Software notations and tools
K1 General programming languages
K1 Language types
K1 Computer systems organization
K1 Dependable and fault-tolerant systems and networks
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Computing methodologies
K1 Machine learning
K1 Machine learning algorithms
K1 Feature selection
K1 Networks
K1 Network performance evaluation
SP 1
OP 5
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2835857.2835862
DO https://dl.acm.org/doi/10.1145/2835857.2835862
SF ELIB - SuUB Bremen

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