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For the fact that telecom data size is extremely huge and the management is much complicated, the paper proposes subspace clustering algorithm based on multi-rule constraint, to mine business knowledge information in a more efficient and accurate manner. By relying on K-means clustering algorithm, the method improves selection and mutation operation of genetic algorithms and thus corrects inappropriate choice of K-means initial clustering centers. Meanwhile, with the use of variable weightingdoi:10.14257/ijmue.2014.9.12.10 fatcat:dfmm7qg62rcztaru5ht3ietjh4