This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
| ISBN: | 9783030575205 |
| Publication date: | 21st August 2020 |
| Author: | Josep DomingoFerrer |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 370 pages |
| Series: | Information Systems and Applications, incl. Internet/Web, and HCI |
| Genres: |
Data mining Expert systems / knowledge-based systems Information retrieval Data warehousing Digital and information technologies: social and ethical aspects Computer security Network security Artificial intelligence |
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies. The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Privacy in Statistical Databases features in the following genres: Data mining, Expert systems / knowledge-based systems, Information retrieval, Data warehousing, Digital and information technologies: social and ethical aspects, Computer security, Network security, Artificial intelligence
Privacy in Statistical Databases is available in Paperback
Privacy in Statistical Databases was written by Josep DomingoFerrer and published by Springer Nature Switzerland AG
Privacy in Statistical Databases has 370 pages
Yes it is part of Information Systems and Applications, incl. Internet/Web, and HCI series
£58.49