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In order to solve the problem of low precision and long time consuming in mining large data resources under the cloud platform, the mining technology of large data resources is improved. Preprocessing of the cloud platform data sets using MST clustering method to enhance the detection results according to the relevance between data and data, improve the efficiency of the index, the adjacency matrix data as edge weights, generating graph MST, obtain evaluation data mining accuracy standard, and get k a minimum spanning tree. The results of the optimal clustering a sub tree, which is the data set. Experimental results show that the proposed method effectively improves the accuracy of large data mining, and makes data resources more efficient.