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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 12, December 2015

A Survey Paper on Frequent Itemset Mining Methods and Techniques

Sheetal Labade | Srinivas Narasim Kini ^[3]

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.

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

Edition: Volume 4 Issue 12, December 2015,

Pages: 545 - 551

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