이동통신 사용패턴을 이용한 고객의 직업판정

다국어 초록 (Multilingual Abstract)

Recently, as most companies recognize the importance of the customer relationship management, they strongly believe that they must know who their custormers are. the job of a customer is very important information for us to understand the customer. Hover, since most customers are reluctant to reveal themselves, they do not let us know their jobs, and even provide false information about their jobs. The target domain of our research is mobile telecommunication. In this research, we developed a system that identifies the customer's job by utilizing the Call Detail Record. Using artificial neural networks, we developed a two-step Job Identification System.In first step, it identifies the four job classes, then in the second step, it subdivides these four job classes into seven jobs. the accuracy of identifying the seven jobs was 71.9%.

참고문헌 (Reference)

1 "Visualization of Large Category Map for Internet Browsing" 35 : 2003.

2 "Proceedings of the IEEE" 1990.

3 "Predicting Subscriber Dissatisfaction and Improving Retention in the Wireless Telecommunications Industry" 11 : 2000.

4 "Mastering Data Mining" John Wiley & Sons, Inc 2000.

5 "An LTV Model and Customer Segmentation based on Customer Value A Case Study on the Wireless Telecommunication Industry" 26 : 2004.

6 "A Strategic Approach to Customer Satisfaction in the Telecommunication Service Market" 33 : 1997.

7 "A Practical Guide to Neural Nets" Addison- Wesley Publishing Company Inc. 1991.

8 "A Kohonen Self- Organizing Map Approach to Addressing a Multiple Objective" 72 : 2001.