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The University of Southampton
Southampton Business School

Dr Stefan Lessmann PhD

Visiting Research Fellow

Dr Stefan Lessmann's photo

Dr Stefan Lessmann is Visiting Research Fellow within Southampton Business School at the University of Southampton.


I was awarded a diploma (MSc-equivalent) in business administration in 2001 and completed my PhD, entitled: Data mining with support vector machines, in 2007. I was appointed as a lecturer in information systems at the University of Hamburg in 2005 and have since then taught various courses on data mining, information systems, web application development and e-business.

Since 2006, I'm a visiting scholar at the Southampton Business School and was assigned a guest lectureship in 2009. I served as a program committee member for several international conferences and reviewer for leading international journals. Since 2006, I'm co-chairing the International Conference on Data Mining (DMIN).


Research interests


My research focuses on the application of data mining to support managerial decision making, as well as the modification and extension of respective methods to fulfil the requirements encountered in real-world business problems. Candidate applications include, e.g., estimating prospects' likelihood of responding to direct-mail, identifying customers at the risk of ending their relationship with a company (churn prediction), fraud detection, or assessing the risk associated with lending money to customers (credit scoring). The use of data mining to aid software project management by identifying error prone software modules at an early stage within the development cycle, and thereby facilitating an efficient allocation of available testing resources, is another area of interest. Finally, I developed a strong interest in studying the mechanisms of and decision makers' behaviour in speculative financial markets. Respective work aims at assessing the degree to which publicly available information is discounted in market prices. An established approach to shed light on markets' informational efficiency involves predictive modelling, which can thus be seen as the central theme embracing and unifying most of my research activities.

From a methodological perspective, I'm especially interested in support vector machines and ensemble approaches to solve general classification and regression problems. Furthermore, novel learning paradigms like active, transductive or strategic learning are an area I'm particularly interested in.


Dr Stefan Lessmann
Southampton Business School, University of Southampton, Highfield, Southampton SO17 1BJ, UK
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