• Title/Summary/Keyword: Modeling CRM System

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Design and Implementation of Customer Management System Using UML (UML을 적용한 고객관리시스템 설계 및 구현)

  • Jung, Won-Gyo;Park, Sang-Sung;Shin, Young-Geun;Kim, Myoung-Hoon;Jang, Dong-Sik
    • The Journal of the Korea Contents Association
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    • v.7 no.11
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    • pp.59-68
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    • 2007
  • According to the development of service industry recently, the use of call taxi service is increased to use a taxi more comfortably. But related firms hesitate to construct a call center on account of enormous expense of constructing. Hence we developed the system that can minimize expense of constructing a call center which use a cellular phone. The proposed system is different from the existing call system of using a terminal method. we designed by applying UML(Unified Modeling Language) the system that can integrate and manage operations of customer management, driver management, order management and settlement of accounts etc. more efficiently using CTI(Computer Telephony Integration). Then the designed system is constructed by using Visual Basic 6.0. For implementing CTI more effectively, calling number of customer is received in PC using CID that is commercialized and then the customer's information is retrieved in the Database in real-time. The system proposed in this paper is possible to construct at low expense, can improve customer service level through an efficient customer management solution.

On the Tree Model grown by one-sided purity (단측 순수성에 의한 나무모형의 성장에 대하여)

  • 김용대;최대우
    • Journal of Intelligence and Information Systems
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    • v.7 no.1
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    • pp.17-25
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    • 2001
  • Tree model is the most popular classification algorithm in data mining due to easy interpretation of the result. In CART(Breiman et al., 1984) and C4.5(Quinlan, 1993) which are representative of tree algorithms, the split fur classification proceeds to attain the homogeneous terminal nodes with respect to the composition of levels in target variable. But, fur instance, in the chum prediction modeling fur CRM(Customer Relationship management), the rate of churn is generally very low although we are interested in mining the churners. Thus it is difficult to get accurate prediction modes using tree model based on the traditional split rule, such as mini or deviance. Buja and Lee(1999) introduced a new split rule, one-sided purity for classifying minor interesting group. In this paper, we compared one-sided purity with traditional split rule, deviance analyzing churning vs. non-churning data of ISP company. Also reviewing the result of tree model based on one-sided purity with some simulated data, we discussed problems and researchable topics.

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