Anonymizing building data for data analytics in cross-organizational settings-Reference-Cited by-同舟云学术

Anonymizing building data for data analytics in cross-organizational settings

Published:2019-04-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Internet of Things Design and Implementation
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Author:

Schwee Jens Hjort¹,Sangogboye Fisayo Caleb¹,Kjærgaard Mikkel Baun¹

Affiliation:

1. University of Southern Denmark, Odense, Denmark

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3302505.3310064

Reference30 articles.

1. Plausible deniability for privacy-preserving data synthesis

2. The "GeneTrustee": a universal identification system that ensures privacy and confidentiality for human genetic databases;Burnett Leslie B;Journal of law and medicine,2003

3. Wen-Kuei Chang and Tianzhen Hong. 2013. Statistical analysis and modeling of occupancy patterns in open-plan offices using measured lighting-switch data. Building Simulation 6 1 (01 Mar 2013) 23--32. Wen-Kuei Chang and Tianzhen Hong. 2013. Statistical analysis and modeling of occupancy patterns in open-plan offices using measured lighting-switch data. Building Simulation 6 1 (01 Mar 2013) 23--32.

4. sMAP

5. Practical data-oriented microaggregation for statistical disclosure control

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