Open AccessThe Relationship between Customer's Personal Characteristics and Usage of Electronic Banking Services
Author(s) -
Aram Heidari,
Nadia Asady
Publication year - 2016
Publication title -
govarî zankoy geşepedanî miroyî
Language(s) - English
Resource type - Journals
eISSN - 2411-7765
pISSN - 2411-7757
DOI - 10.21928/juhd.v2n3y2016.pp498-501
Subject(s) - process (computing) , computer science , data science , context (archaeology) , process mining , electronic banking , business process , business process discovery , data mining , business , marketing , world wide web , business process modeling , work in process , the internet , paleontology , biology , operating system
Nowadays, data is the heart of business processes of small and large companies, such as retailers, communication, production, facilities, transportation, insurance, credit cards and banking. Hence, there is a need for a tool that can process stored data and provide users with the information obtained from this process. In this context, data mining is one of many scientific branches that in recent years has experienced a rapid expansion worldwide. Data mining is the process of discovering knowledge (that is) hidden in data, which by describing, explaining, predicting and controlling various phenomena, has a wide application in various fields. The main idea of data mining is based on the fact that old data contain information that can be used in the future and will be valuable. The purpose of data mining is to find those patterns in existing data that make the needs, preferences and desires of the business clearer. Therefore, extracting the symptoms from useless things, i.e. identifying underlying patterns within seemingly random variables, is one of the important roles of data mining. The aim of this paper is to analyze the relationship between individual characteristics of the client and the use of electronic banking services (using data mining methods).