TY  - BOOK
AU  - Domingo-Ferrer,Josep
AU  - Önen,Melek
ED  - SpringerLink (Online service)
TI  - Privacy in Statistical Databases: International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25-27, 2024, Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783031696510
AV  - QA76.9.D343 
U1  - 006.312 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Data mining
KW  - Database management
KW  - Machine learning
KW  - Computers and civilization
KW  - Data protection
KW  - Computer networks 
KW  - Data Mining and Knowledge Discovery
KW  - Database Management
KW  - Machine Learning
KW  - Computers and Society
KW  - Data and Information Security
KW  - Computer Communication Networks
N1  - Privacy models and concepts -- Microdata protection -- Statistical table protection -- Synthetic data generation methods -- Synthetic data generation software -- Disclosure risk assessment -- Spatial and georeferenced data -- Machine learning and privacy -- Case studies
N2  - This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2024, held in Antibes Juan-les-Pins, France, during September 25-27, 2024. The 28 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: Privacy models and concepts; Microdata protection; Statistical table protection; Synthetic data generation methods; Synthetic data generation software; Disclosure risk assessment; Spatial and georeferenced data; Machine learning and privacy; and Case studies.
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-69651-0
ER  -