Scalable Privacy-Preserving Big Data Management and Analytics
Author:
Affiliation:
1. University of Trieste and ICAR-CNR Trieste, Italy
Publisher
ACM Press
Reference30 articles.
1. Abdulaziz Albatli, David McKee, Paul Townend, Lydia Lau, and Jie Xu. 2017. PROV-TE: A Provenance-Driven Diagnostic Framework for Task Eviction in Data Centers. In Third IEEE International Conference on Big Data Computing Service and Applications, Big Data Service 2017, Redwood City, CA, USA, April 6-9, 2017. 233--242. https://doi.org/10.1109/BigDataService.2017.34
2. Yael Amsterdamer, Daniel Deutch, and Val Tannen. 2011. Provenance for aggregate queries. In Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS 2011, June 12-16, 2011, Athens, Greece. 153--164. https://doi.org/10.1145/1989284.1989302
3. David W. Archer, Lois M. L. Delcambre, and David Maier. 2013. User Trust and Judgments in a Curated Database with Explicit Provenance. In In Search of Elegance in the Theory and Practice of Computation - Essays Dedicated to Peter Buneman. 89--111. https://doi.org/10.1007/978-3-642-41660-6_5
4. Flavio Costa, Vítor Silva Sousa, Daniel de Oliveira, Kary A. C. S. Ocaña, and Marta Mattoso. 2014. Towards Supporting Provenance Gathering and Querying in Different Database Approaches. In Provenance and Annotation of Data and Processes - 5th International Provenance and Annotation Workshop, IPAW 2014, Cologne, Germany, June 9-13, 2014. Revised Selected Papers. 254--257. https://doi.org/10.1007/978-3-319-16462-5_26
5. Alfredo Cuzzocrea. 2014. Privacy and Security of Big Data: Current Challenges and Future Research Perspectives. In Proceedings of the First International Work- shop on Privacy and Security of Big Data, PSBD@CIKM 2014, Shanghai, China, November 7, 2014. 45--47. https://doi.org/10.1145/2663715.2669614
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