An Extended Frequent Pattern Tree for Hiding Sensitive Frequent Itemsets
نویسندگان
چکیده
منابع مشابه
Hiding Sensitive Frequent Itemsets by a Border-Based Approach
Nowadays, sharing data among organizations is often required during the business collaboration. Data mining technology has enabled efficient extraction of knowledge from large databases. This, however, increases risks of disclosing the sensitive knowledge when the database is released to other parties. To address this privacy issue, one may sanitize the original database so that the sensitive k...
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Mining frequent patterns in large transactional databases is a highly researched area in the field of data mining. Existing frequent pattern discovering algorithms suffer from many problems regarding the high memory dependency when mining large amount of data, computational and I/O cost. Additionally, the recursive mining process to mine these structures is also too voracious in memory resource...
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ژورنال
عنوان ژورنال: The KIPS Transactions:PartD
سال: 2011
ISSN: 1598-2866
DOI: 10.3745/kipstd.2011.18d.3.169