• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.319-329
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• 2005

Rapid business and technology changes drive many organizations to seek better solutions and many of them believe that Information Technology is an essential tool to cope with turbulent environment. Companies began to think ERP system as an effective alternative for IT-based process innovation and integrated information system. But each ERP system has a specific business model and technical structure, unlike in-house developed systems. Moreover implementation of ERP system accompanies transformation of business processes at company level including radical changes in information technology. Therefore, to implement ERP system successfully appropriate and careful selection of ERP system which is adequate for company's objectives and environment must be considered. In this research, four types of changes expected by ERP implementation were suggested. Each type of changes was determined by desired level of changes in business process and information technology.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.111-128
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• 2017

Existing studies for recommender have focused on recommending an appropriate item based on the customer preference. However, it has not yet been studied actively to recommend purchase timing for the repurchase product despite of its importance. This study aims to propose MLP and RNN models based on the only simple purchase history data to predict the timing of customer repurchase and compare performances in the perspective of prediction accuracy and quality. As an experiment result, RNN model showed outstanding performance compared to MLP model. The proposed model can be used to develop CRM system which can offer SMS or app based promotion to the customer at the right time. This model also can be used to increase sales for repurchase product business by balancing the level of order as well as inducing repurchase of customer.

• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.69-81
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• 2005

As the competition in business becomes severe, companies are focusing their capacity on customer relationship management (CRM) for survival. One of the important issues in CRM is to build a purchase prediction model, which classifies customers into either purchasing or non-purchasing groups. Until now, various techniques for building purchase prediction models have been proposed. However, they have been criticized because their performances are generally low, or it requires much effort to build and maintain them. Thus, in this study, we propose the support vector machine (SVM) a tool for building a purchase prediction model. The SVM is known as the technique that not only produces accurate prediction results but also enables training with the small sample size. To validate the usefulness of SVM, we apply it and some of other comparative techniques to a real-world purchase prediction case. Experimental results show that SVM outperforms all the comparative models including logistic regression and artificial neural networks.

• International Journal of Aerospace System Engineering
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• v.2 no.2
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• pp.67-72
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• 2015

The main concern of this study is to integrate the EARSM into an industrial RANS solver in conjunction with the $k-{\omega}$ model, as proposed by Hellsten (EARSMKO2005). In order to improve the robustness, particular limiters are introduced to turbulent conservative variables, and a suitable full-approximation storage (FAS) multi-grid (MG) strategy is designed to incorporate turbulence model equations. The present limiters and MG strategy improve both robustness and efficiency significantly but without degenerating accuracy. Two discretization approachs for velocity gradient on cell interfaces are implemented and compared with each other. Numerical results of a three-dimensional supersonic square duct flow show that the proper discretization of velocity gradient improves the accuracy essentially. To assess the capability of the resulting EARSM $k-{\omega}$ model to predict complex engineering flow, the case of Common Research Model (CRM, Wing-Body) is performed. All the numerical results demonstrate that the resulting model performs well and is comparable to the standard two-equation models such as SST $k-{\omega}$ model in terms of computational effort, thus it is suitable for industrial applications.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.3
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• pp.767-773
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• 2010

RFID and Kiosk has been acquiring the essential position not only for providing simple information but also as the tool for establishing Ubiquitous based society. Especially it can be said that the time for developing various Kiosks as important methods to conducting marketing and service through the differentiation and easiness on dealing information has come. Considering the present requirement, 'U-Commerce System' has been designed and developed. In the system, the RFID reader installed in 'U-Shop Kiosk System' recognizes the RFID tag on situated the specific products and detail product information and related multimedia advertisement are provided. Moreover, when the customers have the needs to purchase concerned products on the spot, they can pay and order by using credit cards. By employing the system, the amount of stock and delivery condition can be monitored in real time and the gathered information in DB can be used for dealing with stock related matters. In addition, a system can be developed to monitor and manage the remote shops in real time base. Furthermore, to overcome the limit of simple unmanned ubiquitous style Kiosk, the possibility of developing an expansion model of ubiquitous style CRM Kiosk has been suggested.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.11a
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• pp.341-348
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• 2000

의사결정 나무라고 불리우기도 하는 나무모형은 결과 해석의 용이성으로 데이터마이닝의 분류예측 모형으로써 큰 각광을 받고 있다. 현재 나무모형으로 가장 많이 사용되는 Breiman et. al의 CART나 Quinlan의 C4.5 모두 생성된 노드들의 자료 구성이 목표변수를 기준으로 수준 구성비 측면에서 순수해지도록 진행된다. 그러나 CRM에 있어 가장 흔한 주제인 해지예측을 위한 모델링을 실시하는 경우 관심의 대상인 해지자가 전체 자료에 극히 일부를 차지하여, 기존의 분할 방법에서와 같이 모든 노드의 순수성을 고려하기란 불가능하다. Buja와 Lee는 이와 같이 소수의 관심에 대상이 되는 부류를 찾아내기 위한 나무모형 생성방법을 소개하였다 즉, 해지자 관리가 중요한 경우 해지자와 비해지자 구분을 진행하는 기존의 방법과는 달리 전체 자료 중 해지자를 집중적으로 찾아가는 탐색적 분할 기준인 단측 순수성(one-sided purity)을 제안하였다. 본 연구에서는 단측 순수성에 의한 나무모델링을 모 PC통신 회사의 해지자 자료에 적용하며 기존의 방법과 비교하였고 몇 가지 시뮬레이션 자료를 통해 단측 순수성의 문제점과 앞으로 해결하여야 할 과제에 대하여 살펴보았다.

• Journal of Fashion Business
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• v.6 no.5
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• pp.136-150
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• 2002

In this study, we proposed a method to be standing customers as the supporting system for the improvement of fashion garment industry which was the marginal growth getting into full maturity of market. As for the customer creation method of Fashion garment company is developing a marketing program to be standing customer as customer scoring to estimate a existing customer‘s buying power, and figure out minimum fixed sales of company to use a future purchasing predict. This study was a result of data from total sixty thousands data to be created for the 11 months from september. 2000 to July. 2001. The data is part of which the company leading the Korean fashion garment industry has a lot of a customer purchasing history data. But this study used only 48,845 refined purchased data to discriminate from sixty thousands data and 21,496 customer case with the exception of overlapping purchased data among of those. The software used to handle sixty thousands data was SAS e-miner. As the analysis process is put in to operation the analysis of the purchasing customer’s profile firstly, and the second come into basket analysis to consider the buying associations for Association goods, the third estimate the customer grade of Customer loyalty by 3 ways of logit regression analysis, decision tree, Artificial Neural Network. The result suggested a method to be estimate the customer loyalty as 3 independent variables, 2 coefficients. The 3 independent variables are total purchasing amount, purchasing items per one purchase, payment amount by one purchasing item. The 2 coefficients are royal and normal for customer segmentation. The result was that this model use a logit regression analysis was valid as the method to be estimate the customer loyalty.

• Health Policy and Management
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• v.16 no.1
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• pp.54-72
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• 2006

This study was conducted as the primary work to develop a customer relationship management (CRM) system to improve the performance of health screening programs. The specific aims of the study was to identify and classify the characteristics of the people who did not receive their health screening using decision trees and to propose management strategies according to their characteristics identified. The data on a total of 5,102,761 subjects of health screening provided by the National Health Insurance Program in the year of 2002 were used. The target variable was whether they underwent their health screening. The input variables included a total of 27. The SAS 9.1 version was used for data preprocessing and statistical analyses. SAS Enterprise Miner was used to develop the decision trees model. The decision trees identified the factors greatly affecting the health screening. In the non-disease group, the highest rate of non-examinees was characterized by: no experience of receiving a health screen, household's age, non-insured episode for the last one year, and patients' age. In the disease group, the one showing the highest rate of non-examinees was characterized by: no experience of receiving a health screening, no experience of going to public health center or midwife clinic for the last one year, and examinees' age. Developing CRM systems for health screening management taking into account the individual characteristics would be considerably helpful to increase the rate of receiving health screening.

• Journal of Intelligence and Information Systems
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• v.12 no.4
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• pp.109-126
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• 2006

An effective customer classification has been essential for the successful customer relationship management. The typical customer rating is carried out by the proportionally allocating the customers into classes in terms of their life time values. However, since this method does not accurately reflect the homogeneity within a class along with the heterogeneity between classes, there would be many problems incurred due to the misclassification. This paper suggests a new method of rating customer using Holistic profit technique, and validates the new method using the customer data provided by an insurance company. Holistic profit is one of the methods used for deciding the cutoff score in screening the loan application. By rating customers using the proposed techniques, insurance companies could effectively perform customer relationship management and diverse marketing activities.

• Journal of the Korean Society for information Management
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• v.19 no.2
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• pp.131-158
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• 2002

The purpose of this study is to suggest the basic data for providing library information services of high quality with clients, by designing the model of MyCyberLibrary and evaluating it. The model of MyCyberLibrary was constructed based on the survey results on the information-seeking behavior of users and on the review of the existing mylibraries'functions. The model is implemented into the prototype system which consists of nine modules. Finally, we evaluated the proposed system via mail questionnaires, and proposed three suggestions to make this system a much more comprehensive and effective one.