A Novel and Secure Mining of Data in Distributed Architecture

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Provided by: International Journal of Engineering Trends and Technology
Topic: Security
Format: PDF
Data confidentiality over data mining in distributed networks is still an important and interesting research issue in the field of knowledge and data engineering or community based clustering approaches, privacy is a basic factor while datasets or data integrates from different data holders or players for mining. Secure mining of data is required in open network. In this paper, the authors are proposing an efficient privacy preserving data clustering technique in distributed networks in decentralized architecture.
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