Data Mining Analysis on High Value Customers and Products recommendation-A Case Study of An IT Product Channel Company
碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 103 === This research is using customers history transation log data to transfer to RFM customer-value-module for customer grouping.Using K-means method to clustering and analyzing in different retailers or customers attributes and cataloging every group, this rese...
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ndltd-TW-103SHU053960602019-05-15T22:08:26Z http://ndltd.ncl.edu.tw/handle/62yk8j Data Mining Analysis on High Value Customers and Products recommendation-A Case Study of An IT Product Channel Company 應用資料探勘技術於顧客價值分析與商品推薦之研究-以資訊產品通路商為例 Wen-Lung Tseng 曾文隆 碩士 世新大學 資訊管理學研究所(含碩專班) 103 This research is using customers history transation log data to transfer to RFM customer-value-module for customer grouping.Using K-means method to clustering and analyzing in different retailers or customers attributes and cataloging every group, this research finds out that the most high value contribution comes from less customers and it matchs the 80/20 rule.The heigh value customers from customer clustering analysis can help the company sales in this case to identify and review the VIP customer list and make an efficiency decision for good profits. Using Apriori method to analyzing in commodity trading information to get purchase rules and apply it on the basis of marketing or promote. Yu-Chin Liu 劉育津 2015 學位論文 ; thesis 66 zh-TW |
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碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 103 === This research is using customers history transation log data to transfer to RFM customer-value-module for customer grouping.Using K-means method to clustering and analyzing in different retailers or customers attributes and cataloging every group, this research finds out that the most high value contribution comes from less customers and it matchs the 80/20 rule.The heigh value customers from customer clustering analysis can help the company sales in this case to identify and review the VIP customer list and make an efficiency decision for good profits. Using Apriori method to analyzing in commodity trading information to get purchase rules and apply it on the basis of marketing or promote.
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Yu-Chin Liu |
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Yu-Chin Liu Wen-Lung Tseng 曾文隆 |
author |
Wen-Lung Tseng 曾文隆 |
spellingShingle |
Wen-Lung Tseng 曾文隆 Data Mining Analysis on High Value Customers and Products recommendation-A Case Study of An IT Product Channel Company |
author_sort |
Wen-Lung Tseng |
title |
Data Mining Analysis on High Value Customers and Products recommendation-A Case Study of An IT Product Channel Company |
title_short |
Data Mining Analysis on High Value Customers and Products recommendation-A Case Study of An IT Product Channel Company |
title_full |
Data Mining Analysis on High Value Customers and Products recommendation-A Case Study of An IT Product Channel Company |
title_fullStr |
Data Mining Analysis on High Value Customers and Products recommendation-A Case Study of An IT Product Channel Company |
title_full_unstemmed |
Data Mining Analysis on High Value Customers and Products recommendation-A Case Study of An IT Product Channel Company |
title_sort |
data mining analysis on high value customers and products recommendation-a case study of an it product channel company |
publishDate |
2015 |
url |
http://ndltd.ncl.edu.tw/handle/62yk8j |
work_keys_str_mv |
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