Data Mining: Technologies, Techniques, Tools, and Trends
Data Mining: Technologies, Techniques, Tools, and Trends
Selective and Authentic Third-Party Distribution of XML Documents
IEEE Transactions on Knowledge and Data Engineering
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Sharing data among organizations plays an important role in security and data mining. In this paper, the authors describe a Data Sharing Miner and Analyzer DASMA system that simulates data sharing among N organizations. Each organization has its own enforced policy. The N organizations share their data based on trusted third party. The system collects the released data from each organization, processes it, mines it, and analyzes the results. Sharing in DASMA is based on trusted third parties. However, organizations may encode some attributes, for example. Each organization has its own policy represented in XML format. This policy states what attributes can be released, encoded, and randomized. DASMA processes the data set and collects the data, combines it, and prepares it for mining. After mining, a statistical report is produced stating the similarities between mining with data sharing and mining without sharing. The authors test, apply data sharing, enforce policy, and analyze the results of two separate datasets in different domains. The results indicate a fluctuation on the amount of information loss using different releasing factors.