[1] Bahrainizad, Manijeh, Assar, Marjan, & Ismailpour, Majid. (2022) segmentation of online retail customers based on demographic characteristics and customer experience; An approach based on self-organizing maps. Modern Marketing Research, 12(1), 69-88. doi: 10.22108/nmrj.2021.130039.2519
[2] Hamdan, Omar & Zhen, Bryan & Alkharabsheh, Omar & Rahman, Abdul & Kajang, Malaysia. (2021). The Impact of Content Marketing, Social Media Marketing and Online Convenience on Consumer Buying Decision Process.
[3] Bashardoust, O., Asgharizadeh, E., & Afshar Kazemi, M. A. (2022). Customers
Clustring Analysis Based on WRFM Model Using Non-Supervisory Data Mining Approach (Case study of hygienic and cosmetic products). Modern Research in DecisionMaking,7(1),198-223,https://dorl.net/dor/20.1001.1.24766291.1401.7.1.7.2, [in Persian].
[4] Minaei, B., afsar, A., houshdar mahjoub, R. (2021). Customer credit clustering for
Present appropriate facilities. Management Research in Iran, 17(4), 1-24,
https://dorl.net/dor/20.1001.1.2322200.1392.17.4.1.1, [in Persian].
[5] Chao, S. H., Chen, M. K., & Wu, H. H. (2021). An LRFM model to analyze outpatient loyalty from a medical center in taiwan. SAGE Open, 11(3), 21582440211031899, https://doi.org/10.1177/21582440211031899.
[6] Joonwhan David Lee, Angelica Bahl, Gregory S. Black, Darrin C. Duber-Smith,
Nicole S. Vowles, (2016) "Sustainable and non-sustainable consumer behavior
in young adults", Young Consumers, Vol. 17 Issue: 1, pp.78-93.
[7] Miguéis, V.L.; Camanho, A.S.; Cunha, J.F.E. Customer Data Mining for Lifestyle Segmentation. Expert Syst. Appl. 2012, 39, 9359–9366
[8] Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10)
[9] Shen, Z. J. M., & Su, X. (2007). Customer behavior modeling in revenue management and auctions: A review and new research opportunities. Production and operations management, 16(6), 713-728
[10] Meshrarm, D., & Bekouni, A. (2021). Prediction and classification of customer behavior in electronic marketing using data mining and neural network (A case study of network marketing companies). Applied Innovations in Industrial Management, 1(2), 1-7.
[11] Gawas A, Niyati, Kulkarni P, et al. The Role of Social Media Marketing In Customer Purchase Intent-A Methodological and Thematic Review [J]. Asian Journal of Management, 2018, 9 (1): 761-766
[12] Sami Madani, 2009. Mining changes in customer purchasing behavior : a data mining approach, Luleå University of Technology, Department of Business Administration and Social Sciences, Division of Industrial marketing and ecommerce
[13] Johansson, A., & Wikström, J. (2021). Customer segmentation using machine learning (Dissertation). Retrieved from https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-443868
[14] Smaili MY, Hachimi H. Hybridization of Improved Binary Bat Algorithm for
Optimizing Targeted Offers Problem in Direct Marketing Campaigns. Advances
in Science, Technology and Engineering Systems Journal 2020;5(6):239–46.
[15] William J. Baumol & Edward A. Ide, 1956. "Variety in Retailing," Management Science, INFORMS, vol. 3(1), pages 93-101, October. DOI: 10.1287/mnsc.3.1.93.
[16] Moulay Youssef Smaili, Hanaa Hachimi, New RFM-D classification model for improving customer analysis and response prediction, Ain Shams Engineering Journal, Volume 14, Issue 12, 2023, 102254, ISSN 2090-4479, https://doi.org/10.1016/j.asej.2023.102254.
[17] Safari F, Safari N, Montazer GA. Customer lifetime value determination based
on RFM model. Mark Intell Plan 2016;34(4):446–61.
[18] Khajvand M, Tarokh MJ. Estimating customer future value of different
customer segments based on adapted RFM model in retail banking context.
Procedia Comput Sci 2011;3:1327–32.
[19] S.-C. Huang, E.-C. Chang, and H.-H. J. E. S. w. A. Wu, ‘‘A case study of applying data mining techniques in an outfitter’s customer value analysis,” vol. 36, no. 3, pp. 5909-5915, 2009.
[20] J.-T. Wei, M.-C. Lee, H.-K. Chen, and H.-H. J. E. S. w. A. Wu, ‘‘Customer
relationship management in the hairdressing industry: An application of data
mining techniques,” vol. 40, no. 18, pp. 7513-7518, 2013.
[21] Florez-Lopez R, Ramon-Jeronimo JM. Marketing Segmentation Through
Machine Learning Models. Soc Sci Comput Rev 2008;27(1):96–117.
[22] V. Kotu and B. Deshpande, ‘‘Chapter 6 - Association Analysis,” in Data Science(Second Edition), V. Kotu and B. Deshpande, Eds.: Morgan Kaufmann, 2019,pp.199-220.
[23] Hemati,Hassan,Yosefirad, The Relationship of Diversification Strategy and Value of Cash Holding with Abnormal Returns in Tehran Stock Exchange listed companies,Journal of Empirical Studies in Financial Accounting, Year 11, No. 37,pages 127-148 , dor:20.1001.1.28210166.1390.9.33.6.2 , [in Persian].
[24] Fateme Rahimi , mohammad vahid sebt , nasim ghanbar tehrani. (.(1400Branch Client Behavior Analysis Using RFM Method )A case study of a chain restaurant(. Business Intelligence Management Studies. 9(36), 189-209. doi: 10.22054/ims.2021.50853.1697
[25]Jafari Momtaz, N., Alizadeh, S., & Sharif Vaghefi, M. (2013). A new model for assessment fast food customer behavior case study: An Iranian fast‐food restaurant. British food journal, 115(4), 601-613.
[26] Doae Mensouri, Abdellah Azmani and Monir Azmani, “K-Means Customers Clustering by their RFMT and Score Satisfaction Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 13(6), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130658
[27] Paredari Mohammad, Sabri Hassan, Amini-e-Sabegh Zain ul Abdin, & Sadeh, Ehsan. (2019). Identifying and analyzing behavioral patterns of banking service customers using data mining techniques. Iranian Political Sociology Monthly, 3(3), 3452-3471. doi: 10.30510/psi.2022.361740.3959
[28] Moghaddam, s.Q. & Abdolvand, Neda & Rajaei Harandi, Saeedeh. (2017). A RFMV model and customer segmentation based on variety of products. Journal of Information Systems and Telecommunication. 5. 155-161.
[29] Omidi Amirreza, (2019). Segmentation of customers using the variables of monetary volume of purchase, number of times of purchase, distance from the last purchase, partial variety of products and variety of product categories (RFMVV) and control charts. Master's thesis. Semnan University
[30] Rezaian Freya, (2017). The effect of gamification on the lifetime value of customers in social networks. Master's thesis. Al-Zahra University, Tehran
[31] Minai Bidgoli, Behrouz, Afsar, Amir, Hoshdar Mahjoub, Rahmat,1400)). Credit clustering of customers to provide appropriate facilities. Management Research in Iran, 17(4), 1-24,dor: 20.1001.1.2322200.1392.17.4.1.1,[in persian].
[32] Hassanzadeh, Mahmoud, Khodadadhosseini, Seyyed Hamid, Meshbaki Esfahani, Asghar, Ahmadi, Parvez , (1398). providing a scale for clustering customers in domestic product preference; The study of the automotive industry, Management Research in Iran, 23(4), 173-196,[in persian].
[33] khadivar, A., & Mehmannavazan, S. (2023). Segmentation and prediction of customer behavior based on the improved RFM model (LRFMSP). Modern Research in Decision Making, 8(2), 123-148.