A partition-based framework for building and validating regression models

IEEE Transactions on Visualization and Computer Graphics

Volumn 19, Issue 12, 2013, Pages 1962-1971

  Muhlbacher, Thomas ^a   Piringer, Harald ^a  

^a VRVIS RESEARCH CENTER   (Austria)

Author keywords

data partitioning; feature selection; guided visualization; model building; Regression; visual knowledge discovery

Indexed keywords

DATA PARTITIONING; FEATURE SUBSET SELECTION; INDEPENDENT VARIABLES; INTERACTIVE WORKFLOW; NATURAL GAS CONSUMPTION; REGRESSION; STRUCTURAL ASSUMPTION; VISUAL KNOWLEDGE DISCOVERY;

MATHEMATICAL MODELS; MODEL BUILDINGS; REGRESSION ANALYSIS; VISUALIZATION;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER SIMULATION; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; COMPUTER GRAPHICS; COMPUTER SIMULATION; MODELS, STATISTICAL; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE;

EID: 84886672540     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2013.125     Document Type: Article

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