A platform for research: civil engineering, architecture and urbanism
Privacy-Preserving Process Mining in Healthcare
Privacy-Preserving Process Mining in Healthcare
Privacy-Preserving Process Mining in Healthcare
Pika, Anastasiia (author) / Wynn, Moe T. (author) / Budiono, Stephanus (author) / ter Hofstede, Arthur H. M. (author) / van der Aalst, Wil M. P. (author) / Reijers, Hajo A. (author)
2020-01-01
1-28 pages
Proceedings of the Second International Workshop on Process-Oriented Data Science for Healthcare, Vienna, Austria, 1-6 September 2019 “Towards Privacy-Preserving Process Mining in Healthcare”., BPM 2019, Wien, Austria, 1 Sep 2019 - 6 Sep 2019; International journal of environmental research and public health : IJERPH 17(5), 1612 (2020). doi:10.3390/ijerph17051612 special issue: "Special Issue "Process-Oriented Data Science for Healthcare 2019 (PODS4H19)" / Special Issue Editors: Dr. Jorge Munoz,Gama, Guest Editor ; Dr. Carlos Fernandez-Llatas, Guest Editor ; Dr. Niels Martin, Guest Editor ; Dr. Owen Johnson, Guest Editor"
Miscellaneous
Electronic Resource
English
Data privacy in construction industry by privacy-preserving data mining (PPDM) approach
Springer Verlag | 2020
|Finite State Machines: Preserving Privacy When Data-Mining Cellular Phone Networks
Online Contents | 2010
|Finite State Machines: Preserving Privacy When Data-Mining Cellular Phone Networks
British Library Online Contents | 2010
|