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A Survey Paper on Frequent Itemset Mining Methods and Techniques

Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 12)

Publication Date:

Authors : ; ;

Page : 545-551

Keywords : Data mining; frequent itemset mining; differential privacy; private; frequent pattern mining;

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Abstract

Recently, there has been growing interest in designing differentially private data mining algorithms. Especially, so in frequent itemset mining. Frequent itemset mining is subset of frequent pattern mining. Additionally, our paper discusses other subsets of frequent pattern mining namely, frequent sequential mining and frequent structured mining. Individual privacy may get affected by exposing frequent itemsets. Therefore, differential privacy is now at central alarm. This paper examines literature analysis on several methods for mining frequent itemsets. Further, it also describes in what manner differential privacy is handled in present systems. The paper concludes by highlighting the importance of protecting individuals data and combining different techniques and methods to achieve differentially private frequent set mining in its truest sense.

Last modified: 2021-07-01 14:28:06