[1] Horrei, H. (2014). Apply Data Mining in Customer Relationship Management. Tebyan.
[2] Veisi, H., & Gharavi, E. (2015).
Data mining based approach in customer relationship management and marketing. Consumer Behavior Studies Journal,
2(2), 25-44.
https://www.magiran.com/paper/2033580
[3] saeida ardakani, s., konjkav monfared, a., & hosseini tavabe, z. (2021).
A Model of Customer’s Stickiness in Online Retail with Emphasis of Their Perceived Value (Case study: DigiKala). Karafan Quarterly Scientific Journal,
-(-), -.
https://doi. org/10.48301/kssa.2021.287817.1546
[4] Delangizan, S., Papzan, A., & Armand, S. (2022).
Design and Development of a Model for Commercialization of Organic Products Based on Fundamental Theory (Case Study: Kermanshah Province). Karafan Quarterly Scientific Journal,
4(18), 33-44.
https://doi.org/10.48301/kssa.2021.271211.1375
[5] Edelstein, H. (2001). Building profitable customer relationships with data mining. In
Customer Relationship Management: The Ultimate Guide to the Efficient Use of CRM. Vieweg+Teubner Verlag.
https://doi.org/10.1007/978-3-322-84961-8_26
[6] Maimon, O., & Rokach, L. (2010).
Data mining and knowledge discovery handbook (2, Ed.). Springer New York.
https://link.springer.com/content/pdf/10.1007/978-0-387-09823-4.pdf
[7] Han, J., Pei, J., & Kamber, M. (2011).
Data mining: concepts and techniques (3 ed.). Morgan Kaufmann.
https://books.google.com/books?id=pQws07tdpjoC
[8] Hwang, H., Jung, T., & Suh, E. (2004).
An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry. Expert Systems with Applications,
26(2), 181-188.
https://doi.org/10.1016/S0957-4174(03)0 0133-7
[9] Kim, S.-Y., Jung, T.-S., Suh, E.-H., & Hwang, H.-S. (2006).
Customer segmentation and strategy development based on customer lifetime value: A case study. Expert Systems with Applications,
31(1), 101-107.
https://doi.org/10.1016/j.eswa.2005.09.004
[10] Jonker, J.-J., Piersma, N., & Van den Poel, D. (2004).
Joint optimization of customer segmentation and marketing policy to maximize long-term profitability. Expert Systems with Applications,
27(2), 159-168.
https://doi.org/10.1016/j.eswa.2004.01.010
[11] Buckinx, W., & Van den Poel, D. (2005).
Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting. European Journal of Operational Research,
164(1), 252-268.
https://doi.org/10.1016/j.ejor. 2003.12.010
[12] Kumar, V., & Reinartz, W. J. (2005).
Customer relationship management: A databased approach. Wiley.
https://pdfs.semanticscholar.org/ddcc/e485c3dca6587a4559262b9b 35f71db192bd.pdf
[13] Tsai, C. Y., & Chiu, C. C. (2004).
A purchase-based market segmentation methodology. Expert Systems with Applications,
27(2), 265-276.
https://doi.org/1 0.1016/j.eswa.2004.02.005
[14] Liu, D.-R., & Shih, Y.-Y. (2005).
Integrating AHP and data mining for product recommendation based on customer lifetime value. Information & Management,
42(3), 387-400.
https://doi.org/10.1016/j.im.2004.01.008
[15] Seyedhosseini, S., Gholamian, M., & Maleki, A. (2011).
A methodology based on RFM using data mining approach to assess the customer loyalty. International Journal of Industrial Engineering,
22(2), 171-179.
http://ijiepm.iust.ac.ir/article-1-661-en.html
[16] Davies, D. L., & Bouldin, D. W. (1979).
A Cluster Separation Measure. IEEE Transactions on Pattern Analysis and Machine Intelligence,
PAMI-1(2), 224-227.
https://doi.org/10.1109/TPAMI.1979.4766909
[17] Brahmana, R. W. S., Mohammed, F. A., & Chairuang, K. (2020).
Customer segmentation based on RFM model using K-means, K-medoids, and DBSCAN methods. Lontar Komputer: Jurnal Ilmiah Teknologi Informasi,
11(1), 32-43.
https://doi.org/10.24843/LKJITI.2020.v11.i01.p04
[18] Ernawati, E., Baharin, S., & Kasmin, F. (2021).
A review of data mining methods in RFM-based customer segmentation. Journal of Physics: Conference Series,
1869(1), 1-8.
https://iopscience.iop.org/article/10.1088/1742-6596/1869/1/012085/pdf
[19] Wu, J., Shi, L., Lin, W.-P., Tsai, S.-B., Li, Y., Yang, L., & Xu, G. (2020).
An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Means Algorithm. Mathematical Problems in Engineering,
2020, 1-7.
https://doi.org/10.1155/2020/8884227
[20] Christy, A. J., Umamakeswari, A., Priyatharsini, L., & Neyaa, A. (2021).
RFM ranking – An effective approach to customer segmentation. Journal of King Saud University - Computer and Information Sciences,
33(10), 1251-1257.
https://doi.org/10.1016/j.jksuci.2018.09.004
[21] Cheng, C.-H., & Chen, Y.-S. (2009).
Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications,
36(3), 4176-4184.
https://doi.org/10.1016/j.eswa.2008.04.003
[22] Dogan, O., Ayçin, E., & Bulut, Z. A. (2018). Customer segmentation by using RFM model and clustering methods: a case study in retail industry. International Journal of Contemporary Economics and Administrative Sciences, 8(1), 1-19.
[23] Maryani, I., Riana, D., Astuti, R. D., Ishaq, A., & Pratama, E. A. (2018, October 17-18).
.Customer Segmentation based on RFM model and Clustering Techniques With K-Means Algorithm 2018 Third International Conference on Informatics and Computing, Palembang, Indonesia
https://doi.org/10.1109/IAC.2018.8780570
[24] Tavakoli, M., Molavi, M., Masoumi, V., Mobini, M., Etemad, S., & Rahmani, R. (2018, October 12-14).
Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques:
A Case Study. 2018 IEEE 15th International Conference on e-Business Engineering Xi'an, China
https://doi.org/10.1109/ICEBE.2018.00027
[25] Huang, Y., Zhang, M., & He, Y. (2020, June 19-21).
Research on improved RFM customer segmentation model based on K-Means algorithm. 2020 5th International Conference on Computational Intelligence and Applications, Beijing, China.
https://doi.org/10.1109/ICCIA49625.2020.00012
[26] Vohra, R., Pahareeya, J., Hussain, A., Ghali, F., & Lui, A. (2020). Using Self Organizing Maps and K Means Clustering Based on RFM Model for Customer Segmentation in the Online Retail Business. In
Intelligent Computing Methodologies: 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings, Part III. Springer Cham.
https://link.springer.com/chapter/ 10.1007/978-3-030-60796-8_42
[27] Hughes, A. M. (1994).
Strategic Database Marketing: The Masterplan for Starting and Managing a Profitable, Customer-Based Marketing Program. Probus Publishing Company.
https://www.amazon.com/Strategic-Database-Marketing-Masterplan-Customer-Based/dp/1557385513
[28] Zalaghi, Z., & Varzi, Y. (2014).
Measuring customer loyalty using an extended RFM and clustering technique. Management Science Letters,
4(5), 905-912.
http:// www.growingscience.com/msl/Vol4/msl_2014_101.pdf
[29] Tale, A., Khani, H., Zendehdel, T., Hajtalebi, H., Behzadfar, F., & Razaqiazar Azar, M. (2017). SPSS Software Applied Training. Vandad.
[30] Chang, H., & Tsay, S. (2004).
Integrating of SOM and K-mean in data mining clustering: An empirical study of CRM and profitability evaluation. Journal of Information Management,
11(-), 161-203.
https://www.sid.ir/en/Journal/ViewPaper. aspx?ID=387 779
[31] Fitri, M., Sarifah Shakinah Syed, A., Zeratul Izzah Mohd, Y., Fachrudin, H., & Tubagus Mohammad Akhriza, A. (2019).
Segmentation Model of Customer Lifetime Value in Small and Medium Enterprise (SMEs) using K-Means Clustering and LRFM Model. International Journal of Integrated Engineering,
11(3), 169-180.
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/4661
[32] Alizadeh Zoeram, A., & Karimi Mazidi, A. R. (2018).
New Approach for Customer Clustering by Integrating the LRFM Model and Fuzzy Inference System. Iranian Journal of Management Studies,
11(2), 351-378.
https://doi.org/10.22059/ijms.20 18.242528.672839
[33] Kao, Y.-T., Wu, H.-H., Chen, H.-K., & Chang, E.-C. (2011).
A case study of applying LRFM model and clustering techniques to evaluate customer values. Journal of Statistics and Management Systems,
14(2), 267-276.
https://doi.org/10.1080/097 20510.2011.10701555
[34] Babaiyan, V., & Sarfarazi, S. A. (2019).
Analyzing Customers of South Khorasan Telecommunication Company with Expansion of RFM to LRFM Model. Journal of Artificial Intelligence and Data Mining,
7(2), 331-340.
https://doi.org/10.22044/ jadm.2018.6035.1715
[35] Sokolova, M., & Lapalme, G. (2009).
A systematic analysis of performance measures for classification tasks. Information Processing & Management,
45(4), 427-437.
https://doi.org/10.1016/j.ipm.2009.03.002