Knowledge Discovery and Data Mining Knowledge Discovery and Data Mining

In recent years, world-wide interest in Knowledge Discovery and Data Mining (KDD) has soared. Typical KDD projects may investigate customer behaviour, plan direct marketing, detect fraudulent activity or identify machine faults. 
data mining process diagramMembers of the laboratory have made significant contributions in techniques for data mining and KDD in the last 10 years, in particular: KDD Methodologies; use of metaheuristics for rule and tree induction; all-rule induction; clustering techniques; time series data mining; feature subset selection; feature construction; privacy preserving data mining and data mining ensembles. The contribution in terms of application areas extends to the financial services industry, medicine and telecommunications. 



Dr. Beatriz de la Iglesia, Dr. Wenjia Wang, Dr. Tony Bagnall

Current Research



Past Projects