Study of Mining and Hiding of Sensitive Association Rule

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Provided by: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
Topic: Data Management
Format: PDF
In this paper, the authors organized two approaches. In first approach an improved Apriori algorithm is being presented that efficiently generates association rules. This reduces unnecessary database scan at the time of forming frequent large item sets. In second approach they have tried to hide sensitive association rule by using an improved Apriori algorithm. In this paper, they have used an approach that strategically modifies fewer transactions in a transaction database to decrease support and confidence of a sensitive rule without producing any side effects.
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