Data mining is concerned with the development of techniques for discovering novel and useful knowledge in large databases, while data matching is the process of identifying records that correspond to the same entities, such as patients or customers, across disparate databases. We are developing unique data mining and matching techniques that enable the linkage of large and dynamic databases, without revealing any private information. These techniques can be used to create innovative population informatics applications that provide new and valuable information for researchers, governments and businesses. The outcomes will provide advances to linking data in areas such as health, commerce, research and national security.
Our research is also addressing the increasing challenge of identity crimes. These offences can result in losses of billions of dollars for financial organisations and serious consequences for the victims involved. We are developing cutting-edge tools that will provide real-time identity verification in a broad range of applications, including e-Government portals, electronic banking, online stores and national security systems.
Explore our available student research projects below and if you’d like to discuss opportunities for collaboration or funding, please email us.
Professor Peter Christen