What are different techniques for privacy-preserving association rule mining

Nov 28, 2017 ... To perform association discovery, the input data table must have a separate observation for each product that was purchased by each customer. May 17, 2018 ... I want to find frequent item sets with the itemset finder or/and the association rule learner. My problem is that they are generating “wrong” results. At a basic level, association rule mining involves the use of machine learning models to analyze data for patterns, called co-occurrences, in a database. It ... This article explains how to extract high-confidence rules, which are characterized by being true in a specified minimum percentage of the transactions being ... We developed a novel approach to infer interactions among transcription factors in user-selected genomic regions, by combining the computation of association ... Evolutionary insights from association rule mining of co-occurring mutations in influenza hemagglutinin and neuraminidase. Solar energy system -- Prohibition or restriction in declaration or association rule. (1), As used in this section, "detached dwelling" means a detached ... May 13, 2013 ... It is inspired by association rule mining and introduces a novel measure for confidence. Our extensive experiments show that our approach ... Nov 29, 2023 ... In this paper, Enhanced Elephant Herding Optimization Algorithm for Association Rule Hiding (EEHOA4ARH) is proposed for association rule hiding. Title: Distributed Association Rule Mining. Researcher: Sawant Vinaya Mahesh. Guide(s):, Ketan Shah. Keywords: Engineering Engineering and Technology