“Intelligent information systems: new techniques and applications”
Bart Baesens is an assistant professor at the Department of Decision Sciences and Information Management, Faculty of Business and Economics, K.U.Leuven (Belgium). He has done extensive research on predictive analytics, data mining, classification and credit risk management. His findings have been published in well-known international journals and presented at international top conferences.
The immense popularity of the Internet and recent technological innovations in storage technology have caused a true tsunami of data. The need to build intelligent information systems, targeted at learning patterns from data and subsequently deploying them in key business processes, is now stronger than ever before. In this research project, we study how to build intelligent information systems by developing new predictive algorithms for rule extraction using both Support Vector Machines (SVM) and Ant Colony Optimization (ACO) techniques, with extensions for dealing with domain knowledge, small data sets and networked observations. We will validate the newly developed algorithms in several practical, real-life problem settings. It will be noted that the suggested research is multi-disciplinary in nature, having a core management informatics focus, but with clear links to finance, marketing and statistics.