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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

OLAP data cubes

biblio

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

Submitted by grigby1 on Mon, 12/28/2020 - 12:38pm
  • smart cities
  • privacy-preserving OLAP-based big data analytics
  • OLAP-based Big Data Analytics
  • OLAP data cubes
  • OLAP analysis
  • OLAP aggregate privacy
  • Experiments and Analysis over Big Datasets
  • Emerging Big Data Applications
  • distributed privacy-preserving OLAP framework
  • Distributed Privacy-Preserving OLAP
  • big data framework
  • authoritative analytical tool
  • bioinformatics
  • big data privacy
  • social networks
  • Distributed databases
  • tools
  • Social network services
  • privacy preservation
  • Measurement
  • Big Data
  • privacy
  • Scalability
  • data privacy
  • Resiliency
  • resilience
  • Metrics
  • Human behavior
  • pubcrawl
  • Data mining
  • data analysis
  • security of data

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