Vector Quantization for Privacy Preserving Clustering in Data Mining
نویسندگان
چکیده
منابع مشابه
Privacy-preserving data mining in homogeneous collaborative clustering
Privacy concern has become an important issue in data mining. In this paper, a novel algorithm for privacy preserving in distributed environment using data clustering algorithm has been proposed. As demonstrated, the data is locally clustered and the encrypted aggregated information is transferred to the master site. This aggregated information consists of centroids of clusters along with their...
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Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy preserving data mining techniques. A frequently used disclosure protection method is data perturbation. When used for data mining, it is desirable that perturbation preserves statistical relationships between attributes, while providing adequate protection for...
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ژورنال
عنوان ژورنال: Advanced Computing: An International Journal
سال: 2012
ISSN: 2229-726X
DOI: 10.5121/acij.2012.3608