P. Christen's Publikationen (10)

Christen, Victor; Häntschel, Tim; Christen, Peter; Rahm, Erhard Privacy-Preserving Record Linkage using Autoencoders International Journal of Data Science and Analytics (accepted) 2022-11

Schneider, M.; Gehrke, L.; Christen, P.; Rahm, E. D-TOUR : Detour-based point of interest detection in privacy-sensitive trajectories Conference: 3. Interdisciplinary Privacy & Security at Large Workshop (Privacy&Security@Large), INFORMATIK 2022 2022-09

Vatsalan, Dinusha; Christen, Peter; Rahm, Erhard Incremental Clustering Techniques for Multi-Party Privacy-Preserving Record Linkage Data & Knowledge Engineering 2020-06

Christen, Victor; Christen, Peter; Rahm, Erhard Informativeness-Based Active Learning for Entity Resolution Proc. International Workshop on Data Integration and Applications(DINA@ECML-PKDD), Würzburg 2019-09

Gladbach, Marcel; Sehili, Ziad; Kudraß, Thomas; Christen, Peter; Rahm, Erhard Distributed Privacy-Preserving Record Linkage using Pivot-based Filter Techniques Proceedings of the 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW), pp. 33-38, 2018 2018-04

Christen, Peter; Kemme, Bettina; Rahm, Erhard; (eds) Proc. of the VLDB 2017 Ph.D. Workshop 2017-08

Christen, Victor; Groß, Anika; Fisher, Jeffrey; Wang, Qing; Christen, Peter; Rahm, Erhard Temporal group linkage and evolution analysis for census data Proc. 19th Int. Conf. on Extending Database Technology (EDBT), Venice, 2017 2017-03

Vatsalan, Dinusha; Sehili, Ziad; Peter Christen, Peter; Rahm, Erhard Privacy-Preserving Record Linkage for Big Data: Current Approaches and Research Challenges In: Handbook of Big Data Technologies (eds.: A. Zomaya, S. Sakr) , Springer 2017 2017-02

Vatsalan, D.; Christen, P.; Rahm, E. Scalable privacy-preserving linking of multiple databases using Counting Bloom filters Proc ICDM workshop on Privacy and Discrimination in Data Mining (PDDM) 2016-12

Fisher, Jeffrey; Christen, Peter; Wang, Qing; Rahm, Erhard A Clustering-Based Framework to Control Block Sizes for Entity Resolution Proc. 21st ACM SIGKDD Conf. on Knowledge Discovery and Mining (KDD), 279-288, 2015 2015-08