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Customer segmentation and analysis of a mobile telecommunication company of Pakistan using two phase clustering algorithm
5 references·0 citing·20 second hop
Customer segmentation and analysis of a mobile telecommunication company of Pakistan using two phase clustering algorithm (2013)Customer segmentation and analysis of a m…Case study on cluster analysis of the telecom customers based on consumers' behavior (2011)Case study on cluster analysi…A Two Phase Clustering Method for Intelligent Customer Segmentation (2010)A Two Phase Clustering Method…Mobile Customer Clustering Based on Call Detail Records for Marketing Campaigns (2009)Mobile Customer Clustering Ba…Understanding Your Customer: Segmentation Techniques for Gaining Customer Insight and Predicting Risk in the Telecom Industry (2008)Understanding Your Customer: …Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression (2007)Segmentation approaches in da…Strategic database marketing (1994)A review of the application of RFM model (2010)Customer segmentation of multiple category data in e-commerce using a soft-clustering approach (2010)Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning (2013)Market Segmentation: Conceptual and Methodological Foundations (1997)Customer Relationship Management: Emerging Practice, Process, and Discipline (2002)Classifying the segmentation of customer value via RFM model and RS theory (2008)Customer segmentation using centroid based and density based clustering algorithms (2017)Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques: A Case Study (2018)Customers Segmentation in the Insurance Company (TIC) Dataset (2018)Data Warehousing and Data Mining for Telecommunications (1997)Data Warehousing, Data Mining, and OLAP (1997)Multi-attribute scoring method for mobile telecommunication subscribers (2003)How Can We Explore Patterns of Customer Segments' Structural Changes? A Sequential Rule Mining Approach (2015)The smartphoners: consumer segmentation by smartphone usage (2016)The Concept and Application of Life Style Segmentation (1974)A practical yet meaningful approach to customer segmentation (1998)Segmenting the market of West Australian senior tourists using an artificial neural network (2002)CRM Segmentation and Clustering Using SAS Enterprise Miner (2007)benefits of segmentation: Evidence from a South African bank and other studies (2017)
this work references cited by second hop

References

  • 2007Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression307 cited
  • 2010A Two Phase Clustering Method for Intelligent Customer Segmentation79 cited
  • 2009Mobile Customer Clustering Based on Call Detail Records for Marketing Campaigns13 cited
  • 2011Case study on cluster analysis of the telecom customers based on consumers' behavior11 cited
  • 2008Understanding Your Customer: Segmentation Techniques for Gaining Customer Insight and Predicting Risk in the Telecom Industry10 cited

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