Using dynamic clustering method at marketing segmentation-in Telecom industry
碩士 === 國立中央大學 === 工業管理研究所 === 91 === Since 1997, the mobile telecom industry in Taiwan has expanded rapidly to a liberalized environment; the mobile telecom market has drastic competition. Nowadays as the mobile telecom market is being saturated, those carrier companies are confronted with h...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2003
|
Online Access: | http://ndltd.ncl.edu.tw/handle/02715963059144496460 |
id |
ndltd-TW-091NCU05041001 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-091NCU050410012016-06-22T04:14:30Z http://ndltd.ncl.edu.tw/handle/02715963059144496460 Using dynamic clustering method at marketing segmentation-in Telecom industry 運用動態分群方法在市場區隔上-以電信產業為例 Shu-Jiun Liao 廖淑君 碩士 國立中央大學 工業管理研究所 91 Since 1997, the mobile telecom industry in Taiwan has expanded rapidly to a liberalized environment; the mobile telecom market has drastic competition. Nowadays as the mobile telecom market is being saturated, those carrier companies are confronted with high customer churn rate. For reducing the customer churn rate, every telecom company try to provide many promotional plans. But it is difficult to choose suitable plan for customers who change their purchasing behavior quickly. Sometimes, only few customers changed, but we have to re-cluster the whole customer data. It is costly and inefficient. In this paper, we introduce a new cluster algorithm, called single-link incremental algorithm. It only to adjust data objects for real change situation in intra-cluster which not to re-cluster again for all data objects. Using this new method, single-link incremental algorithm, not only can reduce cost, but also gain the right market segmentation information immediately. none none 何應欽 許秉瑜 2003 學位論文 ; thesis 37 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立中央大學 === 工業管理研究所 === 91 ===
Since 1997, the mobile telecom industry in Taiwan has expanded rapidly to a liberalized environment; the mobile telecom market has drastic competition. Nowadays as the mobile telecom market is being saturated, those carrier companies are confronted with high customer churn rate.
For reducing the customer churn rate, every telecom company try to provide many promotional plans. But it is difficult to choose suitable plan for customers who change their purchasing behavior quickly. Sometimes, only few customers changed, but we have to re-cluster the whole customer data. It is costly and inefficient. In this paper, we introduce a new cluster algorithm, called single-link incremental algorithm. It only to adjust data objects for real change situation in intra-cluster which not to re-cluster again for all data objects. Using this new method, single-link incremental algorithm, not only can reduce cost, but also gain the right market segmentation information immediately.
|
author2 |
none |
author_facet |
none Shu-Jiun Liao 廖淑君 |
author |
Shu-Jiun Liao 廖淑君 |
spellingShingle |
Shu-Jiun Liao 廖淑君 Using dynamic clustering method at marketing segmentation-in Telecom industry |
author_sort |
Shu-Jiun Liao |
title |
Using dynamic clustering method at marketing segmentation-in Telecom industry |
title_short |
Using dynamic clustering method at marketing segmentation-in Telecom industry |
title_full |
Using dynamic clustering method at marketing segmentation-in Telecom industry |
title_fullStr |
Using dynamic clustering method at marketing segmentation-in Telecom industry |
title_full_unstemmed |
Using dynamic clustering method at marketing segmentation-in Telecom industry |
title_sort |
using dynamic clustering method at marketing segmentation-in telecom industry |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/02715963059144496460 |
work_keys_str_mv |
AT shujiunliao usingdynamicclusteringmethodatmarketingsegmentationintelecomindustry AT liàoshūjūn usingdynamicclusteringmethodatmarketingsegmentationintelecomindustry AT shujiunliao yùnyòngdòngtàifēnqúnfāngfǎzàishìchǎngqūgéshàngyǐdiànxìnchǎnyèwèilì AT liàoshūjūn yùnyòngdòngtàifēnqúnfāngfǎzàishìchǎngqūgéshàngyǐdiànxìnchǎnyèwèilì |
_version_ |
1718315788879790080 |