Supporting discretionary decision-making with information technology
Hybrid wrapper-filter approaches for input feature selection using maximum relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA)
Exploring novel features and decision rules to identify cardiovascular autonomic neuropathy using a hybrid of wrapper-filter based feature selection
Discovering interesting association rules from legal databases
Novel data mining techniques for incompleted clinical data in diabetes management
Rule-based classifiers and meta classifiers for identification of cardiac autonomic neuropathy progression
Diagnostic with incomplete nominal/discrete data
Are you sure you would like to clear your session, including search history and login status?