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Applications requiring huge data processing have two main problems, one a massive storage and its supervision and next processing time, when the quantity of data increases. Distributed databases determine the first trouble to a huge amount but second problem increase. Since, current stage is of networking and communication and community are involved in maintenance huge data on networks, therefore, researchers are suggest a range of novel algorithms to raise the throughput of resulted data over distributed databases. Within our research, we are proposing an novel algorithm to process large quantity of data at the a variety of servers and collect the processed data on customer machine as much as necessary.

An Efficient Approach of Association Rule Mining on Distributed Database Algorithm