International Journal of Engineering Trends and Technology
The necessity to concentrate information out of disseminated information, without a former unification of the information, made the somewhat new research zone of Distributed Knowledge Discovery in Databases (DKDDs). The data mining in large databases there is hard task to maintain the confidentiality over data mining in distributed networks or outsourced databases, data integrates from various 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.