Research interests

My current research projects focus on

Database marketing
Predictive Customer Analytics – Big Data Analytics for Marketing: the search for methods to improve analytical Customer Relationship Management efforts, including (but not limited to) predictive methods and data mining in function of customer scoring and targeting, and personalization of offers and communication.

Web mining
Web mining and web user profiling: involving clickstream analysis and the profiling of Internet users based on their online behavior in order to enhance Internet marketing and online advertising targeting effectiveness.

Internet Markering and Web Advertising
Digital marketing: techniques to develop corporate presence online and communicating with customers on the Internet. Inclucing topics as recommender systems, SEM/SEO, video marketing and social network advertising.

Machine Learning & Data Mining
Machine learning / data mining: all methods to gain insight from massive amounts of data. In particular, my interest lies in techniques for data preprocessing, binary and multiclass classification, regression, semi-supervised learning, cost-sensitive learning and class imbalanced learning and last but not least, methods to extract insights and knowledge from black box models.

Ensemble Learning
Multiple classifier systems: the development and analysis of classifiers consisting of combinations of models (ensembles), which have been demonstrated to substantially increase performance over single models.