Historical data are commonly used in large scale industry for efficient manipulation and retrieval of datasets. Managing a historical data in multidimensional data cubes is a complicated process. This paper aims to utilize the amenities of a peer to peer framework in extraction and management of large scale data clusters. The data clusters are mined by finding interesting patterns in specialized domains.
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