Data Mining & Matching

Data Mining

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.

 

Academic staff

Professor Peter Christen »

Professor

Dr Timothy Graham »

Research Fellow

Dr Dinusha Vatsalan »

Research Fellow

Qing Wang, CECS, ANU

Dr Qing Wang  »

Fellow / Senior Lecturer

Student

Jeffrey Fisher

Mr Jeff Fisher »

Phd student

Mr Yichen Hu »

PhD Student

Mr Zakaria Mhammedi »

PhD Student

Thilina Nuwanga Ranbaduge

Mr Thilina Ranbaduge »

PhD Student

Affiliates

Dr Graham Williams

Dr Graham Williams »

Visiting Fellow

1 Dec 2016
While online voting might seem like a good way to speed up the counting of ballots, it contradicts basic tenets of our democratic system, as ROSS PEAKE reports...
Alasdair Tran and Lee Wei Yen
5 Nov 2015
Two ANU computing students have recently taken out the Australian Data Mining 2015 student competition.  With a first place prize of $...

Professor Peter Christen

ARC Discovery

Awarded $350,000 from the Australian Research Council for a project entitled "Privacy-preserving Record Linkage on Multiple Large Databases."

 

Updated:  8 September 2015/Responsible Officer:  Head of School/Page Contact:  CECS Marketing