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...

Full description

Bibliographic Details
Main Authors: Wen-Feng Ho, 何文峰
Other Authors: 邱昭彰
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/73463638528070870042
id ndltd-TW-095YZU05396039
record_format oai_dc
spelling 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
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 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.
author2 邱昭彰
author_facet 邱昭彰
Wen-Feng Ho
何文峰
author Wen-Feng Ho
何文峰
spellingShingle 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 AT wenfengho webminingforcustomerschurnanalysisintelecommunicationindustries
AT héwénfēng webminingforcustomerschurnanalysisintelecommunicationindustries
AT wenfengho wǎnglùwénzìtànkānyùnyòngyúdiànxìnyèkèhùliúshīdeyánjiū
AT héwénfēng wǎnglùwénzìtànkānyùnyòngyúdiànxìnyèkèhùliúshīdeyánjiū
_version_ 1718278840662360064