نتایج جستجو برای: association rule hiding
تعداد نتایج: 658337 فیلتر نتایج به سال:
Recent development in Privacy-Preserving Data Mining has proposed many efficient and practical techniques for hiding sensitive patterns or information from been discovered by data mining algorithms. In hiding association rules, current approaches require hidden rules or patterns to be given in advance. In addition, for Apriori algorithm based techniques [26], multiple scanning of the entire dat...
Extracting knowledge from large amount of data while preserving the sensitive information is an important issue in data mining. Providing security to sensitive data against unauthorized access has been a long term goal for the database security research community. Almost all the research in privacy preservation is limited to binary dataset. Business and scientific data contain both quantitative...
-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...
Data mining is the process of extracting the previously unknown patterns from large amount of data. Privacy preserving data mining is one of the research areas in data mining. The main
The Association Rule Mining is the traditional mining technique which identifies the frequent itemsets from the databases and this technique generates the rules by considering the each items. The traditional association rule mining fails to obtain the infrequent itemsets with higher profit. Since association rule mining technique treats all the items in the database equally by considering only ...
Today, people benefit from utilizing data mining technologies, such as association rule mining methods, to find valuable knowledge residing in a large amount of data. However, they also face the risk of exposing sensitive or confidential information, when data is shared among different organizations. Thus, a question arises: how can we prevent that sensitive knowledge is discovered, while ensur...
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