Quality Measurements for Association Rules Hiding
نویسندگان
چکیده
منابع مشابه
double clustering method in hiding association rules
association rules are among important techniques in data mining which are used for extracting hidden patterns and knowledge in large volumes of data. association rules help individuals and organizations take strategic decisions and improve their business processes. extracted association rules from a database contain important and confidential information that if published, the privacy of indivi...
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One of the important usage of RDF documents is storing semi-structured and structured data for web information systems. But large repositories of data on the web may contain sensitive information that must be protected against unauthorized access. A possible problem, and still not investigated in this documents, is need to balance confidentiality of disclosed data with legitimate needs of the d...
متن کاملA Theoretical Approach for Hiding Sensitive Association Rules
Data mining process is used to extract knowledge from the database. Large numbers of data mining tools are available to get the useful information. These tools can be utilized to break the privacy and security of useful sensitive information present in the database. This sensitive information may be personal information, patterns, facts etc. This sensitive information if mined will result in lo...
متن کاملA heuristic algorithm for quick hiding of association rules
Increasing use of data mining process and extracting of association rules caused the introduction of privacy preserving in data mining. A complete publication of the database is inconsistent with security policies and it would result in disclosure of some sensitive data after performing data mining. Individuals and organizations should secure the database before the publication, because if they...
متن کاملImproved Genetic Algorithm Approach for Sensitive Association Rules Hiding
Association rule mining is interesting area of data mining research which discovers correlations between different item sets in a transaction database. Efforts have been made for efficient hiding of sensitive association rules, but these techniques do not consider the consequences such as loss of information, lost rules and increase in ghost rules production. In this paper, we propose improved ...
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ژورنال
عنوان ژورنال: AASRI Procedia
سال: 2013
ISSN: 2212-6716
DOI: 10.1016/j.aasri.2013.10.083