Mining on the Convergent Billing Services Data for Telecommunication Business

• Main Authors: Se-Fen Chien, 簡瑟芬
• Other Authors: Chau-Young Ivan Lin
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/26852064036354613323

碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 91 === As deregulation opens up the telecommunications industry, the telecommunications market has increased more converging communications services. According to investigation, suppliers of telecommunication services are facing heavy competition due to the ever increasing needs from customers for more and better converging communication services, the suppliers consider to deliver these services must become more suitable and creative. The study attempts to acquire hidden knowledge by means of the technology of data mining from the huge data stored in a telecommunication billing database, which is used to support large customers’ convergence billing services activity. Through this study, we discover two kinds of customer behavioral information: characterization of convergence service and behavior of purchasing. The characterization of convergence service enables us to better understand customers for increasing customer satisfaction and royalty. The behavior of association purchasing will support enterprise for marketing strategic. The mining methodology adopted is based on some of techniques taken from artificial intelligence, such as: decision tree, neural networks of classification, and association analysis, have been widely adopted to acquire customer knowledge patterns. Beside the pattern extraction, we make this knowledge explicit by rules and visualization link chart resulting in an actionable format to business managers, who understand customers’ needs and patterns and design proper relationship strategies based on discovered informative characteristics.