منابع مشابه
A New Approach to Sensitive Rule Hiding
Privacy preserving data mining is a novel research direction in data mining and statistical databases, which has recently been proposed in response to the concerns of preserving personal or sensible information derived from data mining algorithms. There have been two types of privacy proposed concerning data mining. The first type of privacy, called output privacy, is that the data is altered s...
متن کاملHiding Sensitive Association Rule Using Clusters of Sensitive Association Rule
The security of the large database that contains certain crucial information, it will become a serious issue when sharing data to the network against unauthorized access. Association rules hiding algorithms get strong and efficient performance for protecting confidential and crucial data. The objective of the proposed Association rule hiding algorithm for privacy preserving data mining is to hi...
متن کاملa new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولSensitive Itemset Hiding in Multi-level Association Rule Mining
-Enormous numbers of intelligent data mining techniques are in usage to discover hidden patterns. Especially Association rule mining has a high impact on business improvement. However mining association rules at multiplelevel may lead to discovery of more specific and concrete knowledge from data. Privacy is needed in order to withstand the business competence. Now-a-days privacy preserving dat...
متن کاملA New Approach to Rule Interest Measures
Rule extraction is one of the main tasks in the Knowledge Discovery process. Our hypothesis is that the interestingness of rules is strongly related to statistical independence between facts. Human reasoning assumes by default statistical independence and when a rule breaks this assumption it is considered interesting. This fact has been noticed long ago and even proposed as a principle for rul...
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ژورنال
عنوان ژورنال: Computer and Information Science
سال: 2008
ISSN: 1913-8997,1913-8989
DOI: 10.5539/cis.v1n3p107