Privacy Preserving Association Rule Mining in Distributed Environments using Fp-Growth Algorithm and Elliptic Curve Cryptography
نویسندگان
چکیده
منابع مشابه
Privacy-Preserving Distributed Association-Rule-Mining Algorithm
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, the discovering of such hidden patterns has statistical meaning and may often disclose some sensitive information. As a result, privacy becomes one of the prime concerns in the datamining research community. Since distributed association mining discovers ass...
متن کاملTowards Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns. However, discovery of such hidden patterns may disclose some sensitive information. As a result privacy becomes one of the prime concerns in data mining research. Since distributed association mining discovers global association rules by combining models from various distributed sites...
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Rare association rule refers to an association rule forming between frequent and rare items or among rare items. CFPgrowth approach is used to mine frequent patterns using multiple minimum support (minsup) values. This approach is an extension of FP-growth approach to multiple minsup values. This approach involves construction of MIS-tree and generating frequent patterns from the MIS-tree. The ...
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finding frequent patterns plays a key role in exploring association patterns, correlation, and many other interesting relationships that are applicable in tdb. several association rule mining algorithms such as apriori, fp-growth, and eclat have been proposed in the literature. fp-growth algorithm construct a tree structure from transaction database and recursively traverse this tree to extract...
متن کاملPrivacy Preserving Association Rule Mining
The current trend in the application space towards systems of loosely coupled and dynamically bound components that enables just-in-time integration jeopardizes the security of information that is shared between the broker, the requester, and the provider at runtime. In particular, new advances in data mining and knowledge discovery, that allow for the extraction of hidden knowledge in enormous...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2017
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9i48/93737