Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident ...

Machine learning classifiers are widely used in financial applications. Due to the nature of certain classification problems, special care should be taken when dealing with imbalanced data. Resampling ...

We propose a domain-independent, iterative approach that (a) applies data mining classification techniques to the collected data in order to discover the conditions under which dynamic decision-making ...