Privacy-Preserving Data Mining - Models and Algorithms
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منابع مشابه
Privacy-preserving Data Mining: Models and Algorithms Privacy-preserving Data Mining: Models and Algorithms
The field of privacy has seen rapid advances in recent years because of the increases in the ability to store data. In particular, recent advances in the data mining field have lead to increased concerns about privacy. While the topic of privacy has been traditionally studied in the context of cryptography and informationhiding, recent emphasis on data mining has lead to renewed interest in the...
متن کاملA General Survey of Privacy-Preserving Data Mining Models and Algorithms
In recent years, privacy-preserving data mining has been studied extensively, because of the wide proliferation of sensitive information on the internet. A number of algorithmic techniques have been designed for privacy-preserving data mining. In this paper, we provide a review of the state-of-the-art methods for privacy. We discuss methods for randomization, k-anonymization, and distributed pr...
متن کاملIntroducing an algorithm for use to hide sensitive association rules through perturb technique
Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. Hiding the as...
متن کاملPrivacy Preserving Data Mining
There is a tremendous increase in the research of data mining. Data mining is the process of extraction of data from large database. Knowledge Discovery in database (KDD) is another name of data mining. Privacy protection has become a necessary requirement in many data mining applications due to emerging privacy legislation and regulations. One of the most important topics in research community...
متن کاملPrivacy Preserving Data Mining Techniques: Challenges & Issues
Privacy preserving becomes an important issue in the development of various data mining techni'ques. In this paper, we have discussed various techniques to preserve privacy while mining data. In the absence of uniform framework across all data mining techniques, researchers have focused on data technique specific privacy preserving issue. Available framework and algorithms provide further insig...
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عنوان ژورنال:
دوره 34 شماره
صفحات -
تاریخ انتشار 2008