Hiding association rules based on relative-non-sensitive frequent itemsets

Association rules hiding algorithms often sanitize transactional databases for protecting sensitive information. Data modification is one of the most important sanitation approaches. However, the exist modification methods either focus on hiding sensitive rules only, or take measures to reduce the i...

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Bibliographische Detailangaben

Hauptverfasser:	Xueming Li, Zhijun Liu, Chuan Zuo
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptation model Association rules Atmospheric modeling Bridges Computer science Context modeling Frequent itemsets Itemsets Knowledge acquisition Knowledge representation Privacy preserving data mining Proposals
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