Keywords: داده های با ابعاد بزرگ; 00-01; 99-00; Proportional hazards model; Sure screening property; Joint screening; High dimensional data;
مقالات ISI داده های با ابعاد بزرگ (ترجمه نشده)
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: داده های با ابعاد بزرگ; primary; 62H12; secondary; 62H25; Gaussian graphical model; High dimensional data; Laplacian matrix; Lasso; Precision matrix; Tracy-Widom law;
Keywords: داده های با ابعاد بزرگ; Edge computing; Deep learning; Content delivery network; Sequence learning; Predictive analysis; High dimensional data;
Keywords: داده های با ابعاد بزرگ; Successive differential evolution algorithm; VSP data; High dimensional data; Velocity and Q inversion;
Keywords: داده های با ابعاد بزرگ; 15A23; 15B10; 62L12; Updating; QR decomposition; High dimensional data; Matrix algebra;
Keywords: داده های با ابعاد بزرگ; Diffusion tensor images; High dimensional data; Nonlinear dimensionality reduction; Color perception; Algebraic multigrid; Multi-scale graph partitioning;
Keywords: داده های با ابعاد بزرگ; Subgroup discovery; Evolutionary algorithms; Discriminative patterns; High dimensional data;
Keywords: داده های با ابعاد بزرگ; High dimensional data; Subspace clustering; Interactive visual analysis; Dimension relevance;
Keywords: داده های با ابعاد بزرگ; Generalized varying coefficient model; Variable screening; High dimensional data; Sure screening property; Ranking consistency;
Keywords: داده های با ابعاد بزرگ; Windowing; Decision tree metrics; High dimensional data
Keywords: داده های با ابعاد بزرگ; Correlated Predictors Screening; False discovery rate; High dimensional data; Single coefficient test;
Keywords: داده های با ابعاد بزرگ; Big data; Clustering analysis; Gene expression; High dimensional data; LASSO; Lung cancer; Nearest neighbor approach; Penalized regression; Generalized linear model;
Keywords: داده های با ابعاد بزرگ; Binary coding; Feature extraction; Classification; High dimensional data; Small sample size situation
Keywords: داده های با ابعاد بزرگ; Stratified sampling; Ensemble clustering; High dimensional data; Consensus function
Keywords: داده های با ابعاد بزرگ; High dimensional data; Graph Laplacian; Multiwavelets; Multiresolution analysis
Keywords: داده های با ابعاد بزرگ; Covariance matrix; High dimensional data; Identity test; Likelihood ratio test; Power; Stein’s loss
Keywords: داده های با ابعاد بزرگ; High dimensional data; Subspace clustering; Constraint based clustering
Keywords: داده های با ابعاد بزرگ; aSPU test; Brain network connectivity; rs-fMRI; High dimensional data; Neuroimaging; Statistical power;
Keywords: داده های با ابعاد بزرگ; Data reduction; Instance selection; Data mining; Machine learning; Genetic algorithms; High dimensional data
Keywords: داده های با ابعاد بزرگ; Subspace segmentation; Data clustering; High dimensional data
Keywords: داده های با ابعاد بزرگ; 62G09; 62F40; 62M10Blocking; Frequency domain; GARCH; High dimensional data; Kullback–Leibler distance; Long range dependence; Mahalanobis distance; Markov chains; Spatial data; Tapering; Whittle estimation
Accuracy of regularized D-rule for binary classification
Keywords: داده های با ابعاد بزرگ; 62H30; 62H99; Classification; High dimensional data; Linear shrinkage covariance matrix estimator; Random matrix theory; Regularized D-rule;
On-line control of false discovery rates for multiple datastreams
Keywords: داده های با ابعاد بزرگ; EWMA; FDR; High dimensional data; Statistical process control; Weak dependence structure;
Rocchio algorithm-based particle initialization mechanism for effective PSO classification of high dimensional data
Keywords: داده های با ابعاد بزرگ; Particle swarm classification; Particle swarm optimization; Educational data mining; High dimensional data; Bloom's taxonomy;
Regularized LRT for large scale covariance matrices: One sample problem
Keywords: داده های با ابعاد بزرگ; Asymptotic normality; Covariance matrix estimator; Identity covariance matrix; High dimensional data; Linear shrinkage estimator; Linear spectral statistics; Random matrix theory; Regularized likelihood ratio test; Spiked covariance matrix;
A sparse fuzzy c-means algorithm based on sparse clustering framework
Keywords: داده های با ابعاد بزرگ; Sparse clustering; Feature selection; High dimensional data; Gene expression
A Hamming distance based binary particle swarm optimization (HDBPSO) algorithm for high dimensional feature selection, classification and validation
Keywords: داده های با ابعاد بزرگ; Feature selection; Hamming distance; High dimensional data; Binary particle swarm optimization; Classification; Stability indices
Regularized MANOVA (rMANOVA) in untargeted metabolomics
Keywords: داده های با ابعاد بزرگ; Multivariate analysis of variance; Analysis of variance – simultaneous component analysis; Regularized multivariate analysis of variance; High dimensional data; Experimental design; Metabolomics
A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables
Keywords: داده های با ابعاد بزرگ; Latent factors; Big data analytics; High dimensional data; MACML estimation approach; Mixed dependent variables; Structural equations models
Algorithm to determine ε-distance parameter in density based clustering
Keywords: داده های با ابعاد بزرگ; Data mining; Clustering; Density based clustering; Subspace clustering; High dimensional data
Finding multivariate outliers in fMRI time-series data
Keywords: داده های با ابعاد بزرگ; Outlier detection; fMRI; High dimensional data
BIOMARKER SIGNATURE IDENTIFICATION IN “OMICS” DATA WITH MULTI-CLASS OUTCOME
Keywords: داده های با ابعاد بزرگ; Constraint-based Methods; Graphical Models; Biomarker Signature Identification; Multiple Outcomes Studies; High Dimensional Data; “Omics” Data
Parsimonious Mahalanobis kernel for the classification of high dimensional data
Keywords: داده های با ابعاد بزرگ; SVM; High dimensional data; High dimensional discriminant analysis; Kernel methods; Hyperspectral imagery; Parsimonious Mahalanobis kernel
Comparison of binary discrimination methods for high dimension low sample size data
Keywords: داده های با ابعاد بزرگ; primary; 62H30; secondary; 62E20; Asymptotic analysis; Binary discrimination; High dimensional data; Machine learning;
Fuzzy partition based soft subspace clustering and its applications in high dimensional data
Keywords: داده های با ابعاد بزرگ; Fuzzy clustering; Soft subspace clustering; Convergence; High dimensional data
User modeling: Through statistical analysis and subspace learning
Keywords: داده های با ابعاد بزرگ; User modeling; Behavior recognition; Dimensionality reduction; High dimensional data; Pattern recognition
Semi-supervised ensemble classification in subspaces
Keywords: داده های با ابعاد بزرگ; Graph construction; Semi-supervised classification; High dimensional data; Subspaces; Ensemble classification
A model selection criterion for discriminant analysis of high-dimensional data with fewer observations
Keywords: داده های با ابعاد بزرگ; Akaike information criterion; Discriminant analysis; Ridge-type estimator; High dimensional data;
Testing the structure of the covariance matrix with fewer observations than the dimension
Keywords: داده های با ابعاد بزرگ; 62H15; 62P10Attained significance level; False discovery rate; High dimensional data; Independence of sub-vectors; Intraclass correlation; Multivariate normal distribution; p>np>n
A fast and recursive algorithm for clustering large datasets with kk-medians
Keywords: داده های با ابعاد بزرگ; Averaging; High dimensional data; kk-medoids; Online clustering; Partitioning around medoids; Recursive estimators; Robbins–Monro; Stochastic approximation; Stochastic gradient
Model selection and estimation in the matrix normal graphical model
Keywords: داده های با ابعاد بزرگ; 62; 92Gaussian graphical model; Gene networks; High dimensional data; l1l1 penalized likelihood; Matrix normal distribution; Sparsistency
Enhancing grid-density based clustering for high dimensional data
Keywords: داده های با ابعاد بزرگ; Clustering; Subspace clustering; High dimensional data
Variable selection using random forests
Keywords: داده های با ابعاد بزرگ; Random forests; Regression; Classification; Variable importance; Variable selection; High dimensional data
A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities
Keywords: داده های با ابعاد بزرگ; Clustering; Dynamic model; Arbitrary shaped clusters; Arbitrary density clusters; High dimensional data; Distance-relatedness
Top-down mining of frequent closed patterns from very high dimensional data
Keywords: داده های با ابعاد بزرگ; Data mining; Association rules; Frequent patterns; High dimensional data
Clustering high dimensional data: A graph-based relaxed optimization approach
Keywords: داده های با ابعاد بزرگ; Clustering; High dimensional data; Relaxed optimization; Graph-based clustering
Data space mapping for efficient I/O in large multi-dimensional databases
Keywords: داده های با ابعاد بزرگ; Data space mapping; Space partitioning; Parallel I/O; Disk and page allocation; High dimensional data; Storage; Multi-disk architectures; Performance
High dimensional nearest neighbor searching
Keywords: داده های با ابعاد بزرگ; High dimensional data; Nearest neighbor queries; Indexing; Similarity search; Approximate and progressive search; Non-uniform data; Scalability; Performance
An approximate algorithm for top-k closest pairs join query in large high dimensional data
Keywords: داده های با ابعاد بزرگ; Technologies of databases; Applications of data and knowledge engineering; High dimensional data; k-closest pairs; Space filling curves;