Web Mining for Customers Churn Analysis in Telecommunication Industries
碩士 === 元智大學 === 資訊管理學系 === 95 === After burst of the internet network dot com bubble, Web 2.0 becomes popular. Internet network is representing the greatest potentiality of its creation value, that is - it offers more effective way of information dissemination. This trend brings the CGM (Consumer-Ge...
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ndltd-TW-095YZU053960392016-05-23T04:17:53Z http://ndltd.ncl.edu.tw/handle/73463638528070870042 Web Mining for Customers Churn Analysis in Telecommunication Industries 網路文字探勘運用於電信業客戶流失的研究 Wen-Feng Ho 何文峰 碩士 元智大學 資訊管理學系 95 After burst of the internet network dot com bubble, Web 2.0 becomes popular. Internet network is representing the greatest potentiality of its creation value, that is - it offers more effective way of information dissemination. This trend brings the CGM (Consumer-Generated Media ), and it makes WOM (Word of Mouth) more powerful. So, enterprises have to control and track the CGM information. But CGM message at the network shows explosive growth. So this research uses Crawler to retrieve and track the information of CGM according to time and key word parameter and by using this, it saves the cost of enterprises and avoids the artificial carelessness. We use text mining technology of key information extraction to let high-level managers of enterprise can have a figure of information . Expect this research can help enterprises to grasp CGM information, understand consumer''s trend and control the crisis. 邱昭彰 2007 學位論文 ; thesis 44 zh-TW |
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碩士 === 元智大學 === 資訊管理學系 === 95 === After burst of the internet network dot com bubble, Web 2.0 becomes popular. Internet network is representing the greatest potentiality of its creation value, that is - it offers more effective way of information dissemination. This trend brings the CGM (Consumer-Generated Media ), and it makes WOM (Word of Mouth) more powerful. So, enterprises have to control and track the CGM information. But CGM message at the network shows explosive growth. So this research uses Crawler to retrieve and track the information of CGM according to time and key word parameter and by using this, it saves the cost of enterprises and avoids the artificial carelessness. We use text mining technology of key information extraction to let high-level managers of enterprise can have a figure of information . Expect this research can help enterprises to grasp CGM information, understand consumer''s trend and control the crisis.
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邱昭彰 |
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邱昭彰 Wen-Feng Ho 何文峰 |
author |
Wen-Feng Ho 何文峰 |
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Wen-Feng Ho 何文峰 Web Mining for Customers Churn Analysis in Telecommunication Industries |
author_sort |
Wen-Feng Ho |
title |
Web Mining for Customers Churn Analysis in Telecommunication Industries |
title_short |
Web Mining for Customers Churn Analysis in Telecommunication Industries |
title_full |
Web Mining for Customers Churn Analysis in Telecommunication Industries |
title_fullStr |
Web Mining for Customers Churn Analysis in Telecommunication Industries |
title_full_unstemmed |
Web Mining for Customers Churn Analysis in Telecommunication Industries |
title_sort |
web mining for customers churn analysis in telecommunication industries |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/73463638528070870042 |
work_keys_str_mv |
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