Bart Baesens

Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings

Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research

Benchmarking state-of-the-art classification algorithms for credit scoring

Benchmarking Least Squares Support Vector Machine Classifiers

Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation

Classification With Ant Colony Optimization

New insights into churn prediction in the telecommunication sector: A profit driven data mining approach

Comprehensible credit scoring models using rule extraction from support vector machines

An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models

Building comprehensible customer churn prediction models with advanced rule induction techniques

APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions

Transformational Issues of Big Data and Analytics in Networked Business