"A Secured Framework to Protect Association Rules in the Big Data ..."

Sake Madhu et al. (2019)

Details and statistics

DOI: 10.18280/ISI.240511

access: closed

type: Journal Article

metadata version: 2021-10-14

a service of  Schloss Dagstuhl - Leibniz Center for Informatics