Work

Towards a Collusion-Resistant Algebraic Multi-Party Protocol for Privacy-Preserving Association Rule Mining in Vertically Partitioned Data

Year: 2007

Type: conference-paper

Source: IEEE International Performance, Computing, and Communications Conference

DOI: 10.1109/pccc.2007.358920

Authors: Dragos Trinca, Sanguthevar Rajasekaran

Institution: University of Connecticut

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2109645677

FWCI: 0.433

Cites: 14

Cited by: 5

Related to: 10