DIT PhD Project Supervisor name & contact details: Name: Brian Mac Namee Email Brian.MacNamee@dit.ie Supervisors Profile: Research Centre: Applied Intelligence Research Centre The Applied Intelligence Research Centre researches the application of computational intelligence technologies to real world problems. The core competencies of the AIRC include machine learning, language technologies, intelligent agents and data analytics. Research Centre website: www.comp.dit.ie/aigroup Supervisors Publication List: http://bit.ly/STs2MO Title of the Project: Regression-based Active Learning for Fraud Detection Project Summary: Inductive-machine-learning-based automated fraud detection systems are best treated as a regression problem, and rely on large collections of historical data labelled with known outcomes. Adding known outcomes to such collections can be an expensive process, but the use of active learning can alleviate this problem. The key issue in active learning research is the design of the selection strategies used to select only the most informative examples from a larger collection for expert review. Active learning research primarily focuses on classification problems and there remain opportunities to improve selection strategies for regression problems. The first part of this project will investigate novel hybrid selection strategies for active learning for regression problems. This work will leverage existing work by the applicants focused on the development of active learning selection strategies based on intrinsic properties of a dataset, and the use of prediction model outputs for novelty detection. The second part of the project will investigate the use of visualisation techniques to allow analysts guide the active learning process using their own insights. Ciência sem Fronteiras / Science Without Borders Priority Area: Information and Communication Technologies (ICTs)