چکیده مقاله
The banking industry around the world is undergoing drastic and dramatic changes, and with the spread of ebanking, it has become easier to record transactional information and data is growing significantly By analyzing CRM database information, banks can better identify customers As well as optimizing the optimal allocation of resources to more profitable customers, data mining techniques are well known tools for analyzing and analyzing customer data It will change the way special and valuable customers are identified from the list of all customers and eventually discover loyal customers In this research, a comprehensive framework for classifying data mining techniques in customer relationshipmanagement is presented and then to examine the applications of data mining techniques in the banking industry Intermediate marketing, risk management, fraud detection, business acquisition and customer retention are discussed below The conceptual framework used is presented below
کلیدواژهها
نویسندگان
Payman kalani torbeghan
Department of computer Engineering, Neyshabour Branch, Islamic Azad University, Neyshabour ,Iran
Reza ghaemi
Department of computer Engineering, QuchanBranch, Islamic Azad University, Quchan,Iran
شیوه ارجاع
kalani torbeghan, Payman and ghaemi, Reza,1399,Data mining techniques in the banking industry,6th International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات ششمین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی10 تیر 1399