Privacy Preservation of Frequent Dataset to be Distributed
Distributed data mining provides computational strength as it can share effectively the large amount of data among its various computational resources connected in a network. In order to design the accurate data models, this huge amount of precise information must be distributed among various computational clients to perform data mining in distributed manner. It will not only result in accurate data model design but also increases the performance of computational process. Distribution of precise information among various computational resources results in the problem of privacy preservation of the confidential information.