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在“
SpringerLink电子期刊
”中,
命中:
92,002
条,耗时:0.3118505 秒
在所有数据库中总计命中:
915,978
条
1.
TBM, a transformation based method for microaggregation of
large
volume mixed
data
作者:
Mostafa Salari
;
Saeed Jalili
;
Reza Mortazavi
关键词:
Microaggregation
;
Large
mixed
data
k ;
anonymity
;
Privacy Preserving
Data
Publishing
;
Multidimensional scaling
刊名:
Data
Mining and Knowledge Discovery
出版年:2017
2.
Selective A
n
DE for
large
data
learning: a low-bias memory constrained approach
作者:
Shenglei Chen
;
Ana M. Martínez
;
Geoffrey I. Webb…
关键词:
Attribute selection
;
Bayesian classification
;
AnDE
;
Large
data
刊名:Knowledge and Information Systems
出版年:2017
3.
A case study in experimental exploration: exploratory
data
selection at the
Large
Hadron Collider
作者:
Koray Karaca
关键词:
Experimental exploration
;
Exploratory experimentation
;
Exploratory
data
selection procedure
;
Strategy
;
driven experimentation
;
Theory
;
driven experimentation
;
ATLAS experiment at CERN’s
Large
Hadron Collider
刊名:Synthese
出版年:2017
4.
k
-Degree anonymity and edge selection: improving
data
utility in
large
networks
作者:
Jordi Casas-Roma
;
Jordi Herrera-Joancomartí…
关键词:
Privacy
k ;
Anonymity
;
Social networks
;
Information loss
;
Data
utility
;
Edge measures
刊名:Knowledge and Information Systems
出版年:2017
5.
Distributed processing of big mobility
data
as spatio-temporal
data
streams
作者:
Zdravko Galić
;
Emir Mešković
;
Dario Osmanović
关键词:
Big
data
;
Data
stream architectures
;
GeoStreaming
;
Mobility
data
;
Parallel processing
;
Real
;
time distributed
;
Spatio
;
temporal
data
streams
刊名:GeoInformatica
出版年:2017
6.
Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for
Large
Data
sets
关键词:
Concurrent AdaBoost
;
Subsampling
;
Classification
;
Machine Learning
;
Large
data
sets classification
刊名:Lecture Notes in Computer Science
出版年:2017
7.
Large
-scale image recognition based on parallel kernel supervised and semi-supervised subspace learning
作者:
Fei Wu
;
Xiao-Yuan Jing
;
Qian Liu
;
Song-Song Wu…
关键词:
Large
;
scale image recognition
;
Parallel kernel discriminant subspace learning framework
;
Random non
;
overlapping equal
data
division strategy
;
Subspace selection
;
Parallel kernel discriminant analysis (PKDA)
;
Parallel kernel semi
;
supervised discriminant analysis (PKSDA)
刊名:Neural Computing and Applications
出版年:2017
8.
Trace: a high-throughput tomographic reconstruction engine for
large
-scale
data
sets
作者:
Tekin Bicer
;
Doğa Gürsoy
;
Vincent De Andrade…
关键词:
Tomography
;
Reconstruction
;
High
;
throughput
;
Big
data
刊名:Advanced Structural and Chemical Imaging
出版年:2017
9.
Consolidating drug
data
on a global scale using Linked Data
作者:
Milos Jovanovik
;
Dimitar Trajanov
关键词:
Methodology
;
Drugs
;
Drug products
;
Healthcare
;
Linked
data
;
Open
data
;
Data
consolidation
;
Tools
刊名:Journal of Biomedical Semantics
出版年:2017
10.
Utilising identifier error variation in linkage of
large
administrative
data
sources
作者:
Katie Harron
;
Gareth Hagger-Johnson
;
Ruth Gilbert…
关键词:
Key words
Data
linkage
;
Record linkage
;
Administrative
data
;
Linkage error
;
Linkage evaluation
;
Hospital admission
刊名:BMC Medical Research Methodology
出版年:2017
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