Yoan Miché, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse, Kaj-Mikael Björk. Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data. In Francesco Buccafurri, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar R. Weippl, editors, Availability, Reliability, and Security in Information Systems - IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings. Volume 9817 of Lecture Notes in Computer Science, pages 193-203, Springer, 2016. [doi]
@inproceedings{MicheOHKALB16,
title = {Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data},
author = {Yoan Miché and Ian Oliver and Silke Holtmanns and Aapo Kalliola and Anton Akusok and Amaury Lendasse and Kaj-Mikael Björk},
year = {2016},
doi = {10.1007/978-3-319-45507-5_13},
url = {http://dx.doi.org/10.1007/978-3-319-45507-5_13},
researchr = {https://researchr.org/publication/MicheOHKALB16},
cites = {0},
citedby = {0},
pages = {193-203},
booktitle = {Availability, Reliability, and Security in Information Systems - IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings},
editor = {Francesco Buccafurri and Andreas Holzinger and Peter Kieseberg and A Min Tjoa and Edgar R. Weippl},
volume = {9817},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-45506-8},
}