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» Evaluation of Sampling for Data Mining of Association Rules
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DBSEC
2010
126views Database» more  DBSEC 2010»
13 years 10 months ago
Mining Likely Properties of Access Control Policies via Association Rule Mining
Abstract. Access control mechanisms are used to control which principals (such as users or processes) have access to which resources based on access control policies. To ensure the...
JeeHyun Hwang, Tao Xie, Vincent C. Hu, Mine Altuna...
KES
2008
Springer
13 years 7 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Data Base
Privacy is one of the most important properties of an information system must satisfy. In which systems the need to share information among different, not trusted entities, the pro...
Mahmoud Hussein, Ashraf El-Sisi, Nabil A. Ismail
ICSE
2009
IEEE-ACM
14 years 3 months ago
Mining exception-handling rules as sequence association rules
Programming languages such as Java and C++ provide exception-handling constructs to handle exception conditions. Applications are expected to handle these exception conditions and...
Suresh Thummalapenta, Tao Xie
ICDM
2002
IEEE
108views Data Mining» more  ICDM 2002»
14 years 1 months ago
Mining Association Rules from Stars
Association rule mining is an important data mining problem. It is found to be useful for conventional relational data. However, previous work has mostly targeted on mining a sing...
Eric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang
DATAMINE
2002
104views more  DATAMINE 2002»
13 years 8 months ago
Cubegrades: Generalizing Association Rules
Cubegrades are generalization of association rules which represent how a set of measures (aggregates) is affected by modifying a cube through specialization (rolldown), generaliza...
Tomasz Imielinski, Leonid Khachiyan, Amin Abdulgha...