Knowledge Discovery on the Customer Relationship Management for Internet Service Providers
碩士 === 國立高雄第一科技大學 === 資訊管理所 === 92 === Since the opening of the Internet to business, many business models have been innovated. The phenomenon of network externalities brings in snowballing effects which attract more people to access the Internet, and make diverse electronic commerce services compet...
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ndltd-TW-092NKIT53960022015-10-13T13:24:19Z http://ndltd.ncl.edu.tw/handle/11765114751559898452 Knowledge Discovery on the Customer Relationship Management for Internet Service Providers 知識發現法於ISP產業顧客關係管理之研究 Yeong-Chang Chu 朱永昌 碩士 國立高雄第一科技大學 資訊管理所 92 Since the opening of the Internet to business, many business models have been innovated. The phenomenon of network externalities brings in snowballing effects which attract more people to access the Internet, and make diverse electronic commerce services competitive in the Internet environment. The Internet Service Providers (ISPs), such as AOL, UUNet and HiNet, supporting the market of access the Internet for end users forms the infrastructure of EC. They unavoidably face a highly competitive environment and are forced to reduce the price in order to keep on the cutting edge; even obtain new customers at no cost. Therefore, it is of great importance for ISPs that how to improve customer’s loyalty and lower churn rate. In this paper we integrate technologies of data mining, OLAP and visualization technologies to discovery the so-called “heavy user discriminate rule” in the IP traffic data. The visualization of customer knowledge allows the ISP to identify groups of high-value customers so that it can support the one-on-one customer care, and up-selling with seamless relationship of customers. We also develop a decision support system to support the decision-making for ISP in managing customer relationships. Pei-Chun Lin Sheng-Tun Li 林珮珺 李昇暾 2004 學位論文 ; thesis 104 zh-TW |
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碩士 === 國立高雄第一科技大學 === 資訊管理所 === 92 === Since the opening of the Internet to business, many business models have been innovated. The phenomenon of network externalities brings in snowballing effects which attract more people to access the Internet, and make diverse electronic commerce services competitive in the Internet environment. The Internet Service Providers (ISPs), such as AOL, UUNet and HiNet, supporting the market of access the Internet for end users forms the infrastructure of EC. They unavoidably face a highly competitive environment and are forced to reduce the price in order to keep on the cutting edge; even obtain new customers at no cost. Therefore, it is of great importance for ISPs that how to improve customer’s loyalty and lower churn rate. In this paper we integrate technologies of data mining, OLAP and visualization technologies to discovery the so-called “heavy user discriminate rule” in the IP traffic data. The visualization of customer knowledge allows the ISP to identify groups of
high-value customers so that it can support the one-on-one customer care, and up-selling with seamless relationship of customers. We also develop a decision support system to support the decision-making for ISP in managing customer relationships.
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author2 |
Pei-Chun Lin |
author_facet |
Pei-Chun Lin Yeong-Chang Chu 朱永昌 |
author |
Yeong-Chang Chu 朱永昌 |
spellingShingle |
Yeong-Chang Chu 朱永昌 Knowledge Discovery on the Customer Relationship Management for Internet Service Providers |
author_sort |
Yeong-Chang Chu |
title |
Knowledge Discovery on the Customer Relationship Management for Internet Service Providers |
title_short |
Knowledge Discovery on the Customer Relationship Management for Internet Service Providers |
title_full |
Knowledge Discovery on the Customer Relationship Management for Internet Service Providers |
title_fullStr |
Knowledge Discovery on the Customer Relationship Management for Internet Service Providers |
title_full_unstemmed |
Knowledge Discovery on the Customer Relationship Management for Internet Service Providers |
title_sort |
knowledge discovery on the customer relationship management for internet service providers |
publishDate |
2004 |
url |
http://ndltd.ncl.edu.tw/handle/11765114751559898452 |
work_keys_str_mv |
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