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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Background
verfasst von : Aris Gkoulalas-Divanis, Vassilios S. Verykios
Erschienen in: Association Rule Hiding for Data Mining
Verlag: Springer US
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In this chapter we provide the background and terminology that are necessary for the understanding of association rule hiding. Specifically, in Section 2.1, we present the theory behind association rule mining and introduce the notion of the positive and the negative borders of the frequent itemsets. Following that, Section 2.2 explicitly states the goals of association rule hiding methodologies, discusses the different types of solutions that association rule hiding algorithms can produce, as well as it delivers the formal problem statement for association rule hiding and its popular variant, frequent itemset hiding.