Prediction of ATM Device’s Income in Acquire Mode Using Data Mining Techniques based on Artificial Neural Networks

  • سال انتشار: 1394
  • محل انتشار: پنجمین همایش ملی بانکداری الکترونیک و نظام های پرداخت
  • کد COI اختصاصی: CEBPS05_014
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 497
دانلود فایل این مقاله

نویسندگان

hooman razavi

pulseware corporation

bahareh hassanpour

ieee student member

ahmad karimisefat

phd.ocs company

jean fabrice lebraty

professor at universite de lyon ۳ &laboratoire magellan

چکیده

One of the main indicators for making decision in banking area is the income of ATMs. Banks are tended to increase their acquirer incomes against the costs of an ATM which include installation, setting up and maintenance. Due to dependence of cash income on various factors such as geography and physical, ATM’s income function is complex which having recognition of its behavior could leads to discovering the mathematical relation between features of an ATM device and the weights of them versus ATM’s income. In this study based on artificial neural networks (ANNs) prediction model and the real data of some ATMs, a comprehensive income model presented which can approximate the income of assumptive ATM. In order to have accurate analysis and better training for ANNs, artificial methods are used to find out the correlation between ATM features and its income and also eliminate uncorrelated features. Applying these analyses will help banking organizations and institutions with making future decisions and also finding locations, situations and opportunities for presentation of ATM services to customers

کلیدواژه ها

ATM Income, Statistical Methods, Data Mining, Artificial Neural networks, Location, Correlation

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.