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!A Novel Parallel Biclustering Approach and Its Application to Identify and Segment Highly Profitable Telecom Customers
2019
IEEE Access
Identifying and segmenting various kinds of highly profitable customers is a critical issue for telecom enterprises. However, the continual increase in the dimension and the volume of data makes traditional approaches inefficient and even unfeasible. To overcome these problems, a novel statistically motivated parallel large sum submatrix biclustering algorithm based on Spark MapReduce (SP-PLSS) is proposed in this paper. Different from traditional approaches, the SP-PLSS is driven by a newly
doi:10.1109/access.2019.2898644
fatcat:6rt4daaa5rd3rcbonruprnsnm4