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@article{146123,
        author = {Pattem venkatesh and Mylapoor Madhu},
        title = {A TWO-LAYER CLUSTERING MODEL FOR MOBILE CUSTOMER ANALYSIS},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {1515-1518},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146123},
        abstract = {Customer segmentation provides an effective and efficient way to obtain insights into customer characteristics and behavioral preferences. In order to enhance customer relationship management and to focus on a dynamically changing market place, we have built a two-layer clustering model for mobile telecom customer analysis. The first layer identifies the cluster by domain expert in accordance with the contribution of the basic degree of customer segmentation. The second layer uses clustering algorithms to group together highly homogeneous groups and identify representative groups in order to explain the characteristics of the group. It then builds a mobile-user clustering model based on customer attributes, contribution to help enterprises view changes in customer value and behavior. The clustering results of this study are readable, have marketing implications, and are intuitive. They can be combined with the product to assist marketing staff with effective marketing. After verification, this method does achieve the desired results
},
        keywords = {},
        month = {},
        }