Identification behavior patterns of Internet Payment Gateway (IPG) users, using data mining techniques

Soroush Masoudi¹ Ali Rezaian²

1) Master of Science in Management of Information Technology Shahid Beheshti University -
2) Doctoral of Management Shahid beheshti University

IOI Code : XYCG-ADKKF
Publication : international conference of Management Elites(icme.ir)
Abstract :
    Data Mining is the set of tools which can help companies, institutions and even individuals to contribute the mass of information and data available, to be effective concepts in the branch of science. Knowledge discovery in databases is, to identify true, simple, useful, and ultimately understandable patterns in data and models. Data Mining is knowledge discovery stage of the process which includes algorithms for this manner. Data mining can be enable large companies such as PSP which are facing with the large volume of financial transactions to correct usage of these data. Clustering of Internet payment transactions port, with use of databases and real- time transactions, help Iran PSP companies (Payment Service Provider) to be capable of recognizing the data contained in its database also notify the current situation in terms of time, place and type of union strength in the financial transactions.

Keywords : data mining knowledge discovery clustering classification internet payment e payment crisp dm methodology