Determining the Existence of Quantitative Association Rule Hiding in Privacy Preserving Data Mining
Dr.Sugumar Rajendran, Dr.Rengarajan Alwar, Dr.Saravanakumar Selvaraj
Association rules, Apriori algorithm, Itemsets, data mining.
Abstract: Abstract: Determining the association rules is a core topic of privacy preserving data mining. This paper aims at giving an overview to some of the previous researches done in this topic, evaluating the current status of the field, and envisioning possible future trends in this area. The concept behind association rules are presented at the beginning. Comparison of different algorithms is provided as part of the evaluation.
Keywords: Association rules, Apriori algorithm, Itemsets, data mining.
How to Cite:
[1] Dr.Sugumar Rajendran, Dr.Rengarajan Alwar, Dr.Saravanakumar Selvaraj, βDetermining the Existence of Quantitative Association Rule Hiding in Privacy Preserving Data Mining,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
