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Information Journal Paper

Title

Dynamic segmentation and ranking approach of customers and identifying their behavioral mobility using data mining techniques in Kargaran Welfare Bank

Pages

  193-218

Abstract

 Nowadays, identifying, determining the value and segmentation of customers is essential for a Bank. Dynamic classification of workers' welfare Bank customers and identification of their behavioral mobility between different departments in a specific period of time using data techniques Kaveh. In this regard, transaction data of customers of this Bank was considered as a statistical community. In six time periods and on a monthly basis with the aim of segmentation and dynamic ranking of customers by K MEAN algorithms and self-organized neural networks SOM was performed. Based on the results of this study, customers were divided into three main sections and their dynamics were studied. Marketing is provided.

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    APA: Copy

    Paridari, Mohammad, SABERI, HASSAN, AMINI, ZEINOLABEDIN, & AMINI, EHSAN. (2022). Dynamic segmentation and ranking approach of customers and identifying their behavioral mobility using data mining techniques in Kargaran Welfare Bank. ISLAMIC ECONOMICS AND BANKING, 11(40 ), 193-218. SID. https://sid.ir/paper/1040662/en

    Vancouver: Copy

    Paridari Mohammad, SABERI HASSAN, AMINI ZEINOLABEDIN, AMINI EHSAN. Dynamic segmentation and ranking approach of customers and identifying their behavioral mobility using data mining techniques in Kargaran Welfare Bank. ISLAMIC ECONOMICS AND BANKING[Internet]. 2022;11(40 ):193-218. Available from: https://sid.ir/paper/1040662/en

    IEEE: Copy

    Mohammad Paridari, HASSAN SABERI, ZEINOLABEDIN AMINI, and EHSAN AMINI, “Dynamic segmentation and ranking approach of customers and identifying their behavioral mobility using data mining techniques in Kargaran Welfare Bank,” ISLAMIC ECONOMICS AND BANKING, vol. 11, no. 40 , pp. 193–218, 2022, [Online]. Available: https://sid.ir/paper/1040662/en

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