Dr Thilina Ranbaduge
Research interests
Data mining
Record linkage
Privacy-preserving record linkage
Population Informatics
Educational Data Mining
Biography
I'm a postdoctoral fellow in the Research School of Computer Science at the Australian National University (ANU). I'm currently working on temporal privacy-preserving record linkage techniques (PPRL) for multiple parties. PPRL is the problem of identifying matching records from different databases that correspond to the same real-world entities without compromising privacy of the entities represented by those records. In my PHD research study I developed scalable techniques for efficient and effective indexing mechanisms in PPRL for multiple parties.
Publications
- Manning, M, Wong, G, Graham, T et al. 2018, 'Towards a 'smart' cost-benefit tool: using machine learning to predict the costs of criminal justice policy interventions', Crime Science, vol. 7, no. 12, pp. 1-13.
- Ranbaduge, T, Vatsalan, D, Randall, S et al 2017, 'Evaluation of Advanced Techniques for Multi-Party Privacy-Preserving Record Linkage on Real-World Health Databases', International Population Data Linkage Conference, International Population Data Linkage Network, Swansea University Wales United Kingdom.
- Ranbaduge, T, Vatsalan, D & Christen, P 2016, 'Scalable block scheduling for efficient multi-database record linkage', 16th IEEE International Conference on Data Mining, ICDM 2016, ed. Bonchi F.Wu X.Baeza-Yates, Barcelona. 1161-1166.
- Ranbaduge, T, Vatsalan, D, Christen, P. 2016, 'Hashing-Based Distributed Multi-party Blocking for Privacy-Preserving Record Linkage', 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2016, ed. J. Bailey et al, Springer International Publishing, pp. 415-427.
- Ranbaduge, T, Vatsalan, D & Christen, P 2015, 'Clustering-Based Scalable Indexing for Multi-party Privacy', 19th Pacific-Asia Conference, PAKDD 2015, ed. Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda, Springer, pp. 549-561.
- Ranbaduge, T, Vatsalan, D & Christen, P 2015, 'MERLIN - A Tool for Multi-party Privacy-preserving Record Linkage', 2015 IEEE International Conference on Data Mining, IEEE Computer Society, USA, pp. 1640-1643.
- Ranbaduge, T, Christen, P & Vatsalan, D 2014, 'Tree Based Scalable Indexing for Multi-Party Privacy-Preserving Record Linkage', Australasian Data Mining Conference (AusDM 2014), Australian Computer Society Inc., Sydney Australia.