Research output per year
Research output per year
Personal profile
Biography
Research interests:
Record Linkage, Entity Resolution, Data Mining, Privacy-Preserving Record Linkage and Data Sharing, Machine Learning, Geocoding, Data Pre-Processing, Health Data Mining, Parallel Computing
See my full CV for more details: http://users.cecs.anu.edu.au/~christen/
Qualifications
PhD
Research student supervision
- Registered to supervise
Fingerprint
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Collaborations and top research areas from the last five years
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Accurate privacy-preserving record linkage for databases with missing values
Vaiwsri, S., Ranbaduge, T., Christen, P. & Schnell, R., May 2022, In: Information Systems. 106, 101959.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
A critique and attack on “Blockchain-based privacy-preserving record linkage”
Christen, P., Schnell, R., Ranbaduge, T. & Vidanage, A., Sept 2022, In: Information Systems. 108, 101930.Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus) -
Active Learning Based Similarity Filtering for Efficient and Effective Record Linkage
Nanayakkara, C., Christen, P. & Ranbaduge, T., 2021, Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Proceedings. Karlapalem, K., Cheng, H., Ramakrishnan, N., Agrawal, R. K., Reddy, P. K., Srivastava, J. & Chakraborty, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 321-333 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12713 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
F*: an interpretable transformation of the F-measure
Hand, D. J., Christen, P. & Kirielle, N., Mar 2021, In: Machine Learning. 110, 3, p. 451-456 6 p.Research output: Contribution to journal › Article › peer-review
Open Access109 Citations (Scopus) -
Pattern Masking for Dictionary Matching
Charalampopoulos, P., Chen, H., Christen, P., Loukides, G., Pisanti, N., Pissis, S. P. & Radoszewski, J., 1 Dec 2021, 32nd International Symposium on Algorithms and Computation, ISAAC 2021. Ahn, H-K. & Sadakane, K. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 65. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 212).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus)
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Novel methods of data integration and federated learning for many-party individual-privacy applications
Christen, P., Nanayakkara, C., Vidanage, A. & Williams, G.
1/01/24 → 31/12/25
Project: Research
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Stage 2: Researching the Scottish Historical Population Platform (SHiPP)
Christen, P., Nanayakkara, C. & Williams, G.
1/10/22 → 30/09/25
Project: Research
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Stage 1: Developing the Scottish Historical Population Platform (SHiPP)
29/11/21 → 31/03/22
Project: Research
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Development of secure and accurate binary encodings for multi-domain privacy-preserving record linkage
Christen, P. & Ranbaduge, T.
1/01/21 → 31/12/24
Project: Research
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Bloom filters for Privacy Preserving Record Linkage
Christen, P. & Ranbaduge, T.
31/05/18 → 31/08/18
Project: Research