[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/JKIIS.2005.15.3.306

A Purchase Pattern Analysis Using Bayesian Network and Neural Network

Hwang Jeong-Sik (대구가톨릭대학교 컴퓨터정보통신공학부)
Pi Su-Young (대구가톨릭대학교 컴퓨터정보통신공학부)
Son Chang-Sik (대구가톨릭대학교 컴퓨터정보통신공학부)
Chung Hwan-Mook (대구가톨릭대학교 컴퓨터정보통신공학부)

Publication Information

Journal of the Korean Institute of Intelligent Systems / v.15, no.3, 2005 , pp. 306-311 More about this Journal

Abstract

To analyze the consumer's purchase pattern, we must consider a factor which is a cultural, social, individual, psychological and so on. If we consider the internal state by the consumer's purchase, Both the consumer's purchase action and the purchase factor can be predicted, so the corporation can use effectively in suitable goods development in a consumer's preference. These factors need a technology that treat uncertain information, because it is difficult to analyze by directly information processing. Therefore, bayesian network manages elements those the observation of inner state such as consumer's purchase is difficult. In addition, it is interpretable about data that the observation is impossible. In this paper, we examine the seller's know-how and the way of consumer's purchase to analyze consumer's purchase action pattern through goods purchase. Also, we compose the bayesian network based on the examined data, and propose the method that predicts purchase patterns. Finally, we remove the data including unnecessary attribute using the bayesian network, and analyze the consumer's Purchase pattern using Kohonen's SOM method.

Keywords

SOM;

Citations & Related Records

Reference

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KSCI

A Purchase Pattern Analysis Using Bayesian Network and Neural Network 베이지안 네트워크와 신경망을 이용한 구매패턴 분석

A Purchase Pattern Analysis Using Bayesian Network and Neural Network