Home » Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences

Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences

Authors: 
Alfredo Cuzzocrea
Vincenzo De Maio
Edoardo Fadda
Type: 
Proceedings contribution
Proceedings: 
2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
Publisher: 
IEEE
Pages: 
1344 - 1350
ISBN: 
ISBN: 978-1-7281-7303-0
Year: 
2020
Abstract: 
TU Focus: 
Information and Communication Technology
Reference: 

A. Cuzzocrea, V. De Maio, E. Fadda:
"Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences";
in: "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)", IEEE, 2020, ISBN: 978-1-7281-7303-0, S. 1344 - 1350.

PDF Link: 
Last changed: 
09.02.2021 16:12:15
TU Id: 
294091
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Info Link: 
https://publik.tuwien.ac.at/showentry.php?ID=294091&lang=1
Abstract German: 
Author List: 
A. Cuzzocrea, V. De Maio, E. Fadda