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Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression

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  1. Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
  2. Philippe Baecke & Dirk Van Den Poel, 2010. "Improving Purchasing Behavior Predictions By Data Augmentation With Situational Variables," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 9(06), pages 853-872.
  3. Gitae Kim & Bongsug Chae & David Olson, 2013. "A support vector machine (SVM) approach to imbalanced datasets of customer responses: comparison with other customer response models," Service Business, Springer;Pan-Pacific Business Association, vol. 7(1), pages 167-182, March.
  4. Hayk Manucharyan, 2020. "How do managers actually choose suppliers? Evidence from revealed preference data," Working Papers 2020-12, Faculty of Economic Sciences, University of Warsaw.
  5. Horvat Ivan & Pejić Bach Mirjana & Merkač Skok Marjana, 2014. "Decision Tree Approach to Discovering Fraud in Leasing Agreements," Business Systems Research, Sciendo, vol. 5(2), pages 61-71, September.
  6. Jaiswal, Anand K. & Niraj, Rakesh & Park, Chang Hee & Agarwal, Manoj K., 2018. "The effect of relationship and transactional characteristics on customer retention in emerging online markets," Journal of Business Research, Elsevier, vol. 92(C), pages 25-35.
  7. Farías, Pablo, 2019. "Determinants of knowledge of personal loans' total costs: How price consciousness, financial literacy, purchase recency and frequency work together," Journal of Business Research, Elsevier, vol. 102(C), pages 212-219.
  8. Coussement, Kristof & Van den Bossche, Filip A.M. & De Bock, Koen W., 2014. "Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees," Journal of Business Research, Elsevier, vol. 67(1), pages 2751-2758.
  9. Udoinyang G. Inyang & Okure O. Obot & Moses E. Ekpenyong & Aliu M. Bolanle, 2017. "Unsupervised Learning Framework for Customer Requisition and Behavioral Pattern Classification," Modern Applied Science, Canadian Center of Science and Education, vol. 11(9), pages 151-151, September.
  10. I. Albarrán & P. Alonso-González & J. M. Marin, 2017. "Some criticism to a general model in Solvency II: an explanation from a clustering point of view," Empirical Economics, Springer, vol. 52(4), pages 1289-1308, June.
  11. Gabriel Marín Díaz & Ramón Alberto Carrasco & Daniel Gómez, 2021. "RFID: A Fuzzy Linguistic Model to Manage Customers from the Perspective of Their Interactions with the Contact Center," Mathematics, MDPI, vol. 9(19), pages 1-27, September.
  12. Gázquez-Abad, Juan Carlos & Canniére, Marie Hélène De & Martínez-López, Francisco J., 2011. "Dynamics of Customer Response to Promotional and Relational Direct Mailings from an Apparel Retailer: The Moderating Role of Relationship Strength," Journal of Retailing, Elsevier, vol. 87(2), pages 166-181.
  13. Marco Vriens & Nathan Bosch & Chad Vidden & Jason Talwar, 2022. "Prediction and profitability in market segmentation typing tools," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 360-389, December.
  14. do Valle, Patrícia Oom & Pintassilgo, Pedro & Matias, António & André, Filipe, 2012. "Tourist attitudes towards an accommodation tax earmarked for environmental protection: A survey in the Algarve," Tourism Management, Elsevier, vol. 33(6), pages 1408-1416.
  15. Albarrán Lozano, Irene & Marín Díazaraque, Juan Miguel & Alonso, Pablo J., 2011. "Why using a general model in Solvency II is not a good idea : an explanation from a Bayesian point of view," DES - Working Papers. Statistics and Econometrics. WS ws113729, Universidad Carlos III de Madrid. Departamento de Estadística.
  16. M. Ballings & D. Van Den Poel, 2012. "The Relevant Length of Customer Event History for Churn Prediction: How long is long enough?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/804, Ghent University, Faculty of Economics and Business Administration.
  17. Coussement, Kristof & De Bock, Koen W., 2013. "Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning," Journal of Business Research, Elsevier, vol. 66(9), pages 1629-1636.
  18. Legohérel, Patrick & Hsu, Cathy H.C. & Daucé, Bruno, 2015. "Variety-seeking: Using the CHAID segmentation approach in analyzing the international traveler market," Tourism Management, Elsevier, vol. 46(C), pages 359-366.
  19. Yingqiu Zhu & Qiong Deng & Danyang Huang & Bingyi Jing & Bo Zhang, 2021. "Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 558-578, June.
  20. Valentina Vasile & Mirela Panait & Simona-Andreea Apostu, 2021. "Financial Inclusion Paradigm Shift in the Postpandemic Period. Digital-Divide and Gender Gap," IJERPH, MDPI, vol. 18(20), pages 1-28, October.
  21. Azarnoush Ansari & Arash Riasi, 2016. "Customer Clustering Using a Combination of Fuzzy C-Means and Genetic Algorithms," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(7), pages 1-59, June.
  22. Duncan Simester & Artem Timoshenko & Spyros I. Zoumpoulis, 2020. "Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges," Management Science, INFORMS, vol. 66(6), pages 2495-2522, June.
  23. Guy Assaker & Wassim Shahin, 2022. "What Drives Faculty Publication Citations in the Business Field? Empirical Results from an AACSB Middle Eastern Institution," Publications, MDPI, vol. 10(4), pages 1-29, November.
  24. Danijel Bratina & Armand Faganel, 2023. "Using Supervised Machine Learning Methods for RFM Segmentation: A Casino Direct Marketing Communication Case," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 35(1), pages 7-22.
  25. Pagn, Jos A. & Pratt, William R. & Sun, Jun, 2009. "Which physicians have access to electronic prescribing and which ones end up using it?," Health Policy, Elsevier, vol. 89(3), pages 288-294, March.
  26. Jessica Alzamora-Ruiz & Carlos Guerrero-Medina & Myriam Martínez-Fiestas & Jaime Serida-Nishimura, 2020. "Why People Participate in Collaborative Consumption: An Exploratory Study of Motivating Factors in a Latin American Economy," Sustainability, MDPI, vol. 12(5), pages 1-25, March.
  27. Sunčica Rogić & Ljiljana Kašćelan & Vladimir Kašćelan & Vladimir Đurišić, 2022. "Automatic customer targeting: a data mining solution to the problem of asymmetric profitability distribution," Information Technology and Management, Springer, vol. 23(4), pages 315-333, December.
  28. Malthouse, Edward C. & Raman, Kalyan, 2013. "The Geometric Law of Annual Halving," Journal of Interactive Marketing, Elsevier, vol. 27(1), pages 28-35.
  29. José Luis Ortega, 2017. "Are peer-review activities related to reviewer bibliometric performance? A scientometric analysis of Publons," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 947-962, August.
  30. David Olson & Qing Cao & Ching Gu & Donhee Lee, 2009. "Comparison of customer response models," Service Business, Springer;Pan-Pacific Business Association, vol. 3(2), pages 117-130, June.
  31. Celal Hakan Kagnicioglu & Mune Mogol, 2014. "Implementation of Chaid Algorithm: A Hotel Case," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 3(4), pages 42-51, October.
  32. Ryotaro Shimizu & Haruka Yamashita & Masao Ueda & Ranna Tanaka & Tetsuya Tachibana & Masayuki Goto, 2020. "Latent Variable Models for Integrated Analysis of Credit and Point Usage History Data on Rewards Credit Card System," International Business Research, Canadian Center of Science and Education, vol. 13(3), pages 106-106, March.
  33. Azarnoush Ansari & Arash Riasi, 2016. "Taxonomy of Marketing Strategies Using Bank Customers’ Clustering," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(7), pages 106-106, June.
  34. Cinar, E. Mine & Hienkel, Tyler & Horwitz, William, 2019. "Comparative entrepreneurship factors between North Mediterranean and North African Countries: A regression tree analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 88-94.
  35. Bacila Mihai-Florin & Radulescu Adrian & Marar Liviu Ioan, 2012. "Prepaid Telecom Customers Segmentation Using The K-Mean Algorithm," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1112-1118, July.
  36. Kessara Kanchanapoom & Jongsawas Chongwatpol, 2023. "Integrated customer lifetime value (CLV) and customer migration model to improve customer segmentation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 172-185, June.
  37. Tien-Hsiang Chang & Kuei-Ying Hsu & Hsin-Pin Fu & Ying-Hua Teng & Yi-Jhen Li, 2022. "Integrating FSE and AHP to Identify Valuable Customer Needs by Service Quality Analysis," Sustainability, MDPI, vol. 14(3), pages 1-15, February.
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