Interactive exploration of parameter space in data mining: Comprehending the predictive quality of large decision tree collections

L Padua, H Schulze, K Matković, C Delrieux - Computers & Graphics, 2014 - Elsevier
Decision trees are an intuitive yet powerful tool for performing predictive data analysis in
data mining. In order to generate an adequate predictive model from a data set, a data …

Interactive exploration of parameter space in data mining: Comprehending the predictive quality of large decision tree collections

L Padua, H Schulze, K Matković, C Delrieux - Computers & Graphics, 2014 - infona.pl
Decision trees are an intuitive yet powerful tool for performing predictive data analysis in
data mining. In order to generate an adequate predictive model from a data set, a data …

[引用][C] Interactive exploration of parameter space in data mining: Comprehending the predictive quality of large decision tree collections: UNCERTAINTY AND …

L PADUA, H SCHULZE, K MATKOVIC… - Computers & …, 2014 - pascal-francis.inist.fr
Interactive exploration of parameter space in data mining: Comprehending the predictive
quality of large decision tree collections : UNCERTAINTY AND PARAMETER SPACE …

Interactive exploration of parameter space in data mining: Comprehending the predictive quality of large decision tree collections

L Padua, H Schulze, K Matković, C Delrieux - Computers & graphics-uk, 2014 - croris.hr
Sažetak Decision trees are an intuitive yet powerful tool for performing predictive data
analysis in data mining. In order to generate an adequate predictive model from a data set, a …

Interactive exploration of parameter space in data mining: Comprehending the predictive quality of large decision tree collections

L Padua, H Schulze, K Matković, C Delrieux - Computers & graphics-uk, 2014 - croris.hr
Sažetak Decision trees are an intuitive yet powerful tool for performing predictive data
analysis in data mining. In order to generate an adequate predictive model from a data set, a …

[引用][C] Interactive exploration of parameter space in data mining: Comprehending the predictive quality of large decision tree collections

L PADUA, H SCHULZE, K MATKOVIC… - Computers & …, 2014 - Elsevier