%0 Conference Paper %1 Sehili2021-me %A Sehili, Ziad %A Rohde, Florens %A Franke, Martin %A Rahm, Erhard %D 2021 %I Gesellschaft für Informatik, Bonn %K %T Multi-party privacy preserving record linkage in dynamic metric space %X We propose and evaluate several approaches for multi-party privacy-preserving record linkage (MP-PPRL) for multiple data sources. To reduce the number of comparisons for scalability we propose a new pivot-based metric space approach that dynamically adapts the selection of pivots for additional sources and growing data volume. We investigate so-called early and late clustering schemes that either cluster matching records per additional source or holistically for all sources. A comprehensive evaluation for different datasets confirms the high effectiveness and efficiency of the proposed methods.

@inproceedings{Sehili2021-me, abstract = {We propose and evaluate several approaches for multi-party privacy-preserving record linkage (MP-PPRL) for multiple data sources. To reduce the number of comparisons for scalability we propose a new pivot-based metric space approach that dynamically adapts the selection of pivots for additional sources and growing data volume. We investigate so-called early and late clustering schemes that either cluster matching records per additional source or holistically for all sources. A comprehensive evaluation for different datasets confirms the high effectiveness and efficiency of the proposed methods.}, added-at = {2024-09-10T11:56:37.000+0200}, author = {Sehili, Ziad and Rohde, Florens and Franke, Martin and Rahm, Erhard}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2ef3733f06bed553c14e8ce3f3de30230/scadsfct}, interhash = {21d61c3c1fa4239653dfa3c5bc96eb5d}, intrahash = {ef3733f06bed553c14e8ce3f3de30230}, keywords = {}, publisher = {Gesellschaft f{\"u}r Informatik, Bonn}, timestamp = {2024-09-10T15:15:57.000+0200}, title = {Multi-party privacy preserving record linkage in dynamic metric space}, year = 2021 }