Hiding Sensitive Association Rules on Stars

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Provided by: International Journal of Computer Applications
Topic: Big Data
Format: PDF
Current technology for association rules hiding mostly applies to data stored in a single transaction table. This paper presents a novel algorithm for hiding sensitive association rules in data warehouses. A data warehouse is typically made up of multiple dimension tables and a fact table as in a star schema. Based on the strategies of reducing the confidence of sensitive association rule and without constructing the whole joined table, the proposed algorithm can effectively hide multi-relational association rules.
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