classification and regression trees
Classification and Regression Trees as a Part of Data Mining in Six Sigma Methodology
5
Classification and regression trees for epidemiologic research: an air pollution example
10
Price Premiums Prediction using Classification and Regression Trees CART Algorithm in eBay Auctions
6
Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis
9
Feature selection and validated predictive performance in the domain of Legionella pneumophila: a comparative study
7
Are foreign currency markets interdependent? evidence from data mining technologies
16
Assessing self-efficacy in type 2 diabetes management: validation of the Italian version of the Diabetes Management Self-Efficacy Scale (IT-DMSES)
9
Using the random forest method to detect a response shift in the quality of life of multiple sclerosis patients: a cohort study
8
Class Based Variable Importance for Medical Decision Making
8
Algorithm Tuning from Comparative Analysis of Classification Algorithms
5
Title: Providing Novel Approach for Classification of Soil and Crop Prediction Using Decision Support System
6
Title: Image Mining Techniques to Enhance the Classification Accuracy on Brain Glioma
15
Software Testing And Defect Analysis Using Soft Computing Concepts
6
Analysis Of Weka Data Mining Algorithm Reptree, Simple Cart And Randomtree For Classification Of Indian News
9
Immunotherapy biomarkers 2016: overcoming the barriers
10
A Novel Ensemble Based Decision Tree Model For High Dimensional Biomedicine Data
5
Associations between ambient air pollutant mixtures and pediatric asthma emergency department visits in three cities: a classification and regression tree approach
14
Computerized adaptive testing with decision regression trees: an alternative to item response theory for quality of life measurement in multiple sclerosis
11
paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classification
14
Ambient Air Quality Estimation using Supervised Learning Techniques
10