Using Clustering with Interesting Weight to Find Consumers’ Adaptive Products
碩士 === 南台科技大學 === 資訊管理系 === 102 === This study adopted cluster analysis to design a method based on customers’ transaction data for data mining, and followed by clustered the results; then used the clustered result as a basis to further developing personalized products for customers. In the study,...
Main Authors: | Wen-Ti Tsai, 蔡汶娣 |
---|---|
Other Authors: | Chui-Cheng Chen |
Format: | Others |
Language: | zh-TW |
Published: |
103
|
Online Access: | http://ndltd.ncl.edu.tw/handle/66xbu2 |
Similar Items
-
The Research of Taipei Sport Office Perception and Consumer Satisfaction in Sport Facilities
by: WeiTi Tsai, et al.
Published: (2006) -
Using Association Rules with Weighted Interest-Items to Find Readers’ Adaptive Books Recommendations
by: wu shin hua, et al.
Published: (101) -
Using Classification Techniques with Weighted Interest-Items to Find Adaptive Recommendations of Borrowing Books
by: Pin-Fan Hsieh, et al.
Published: (2008) -
Using Clustering Techniques with Weighted Interest-Items to Fine Adaptive Recommendation of Borrowing Books
by: Shih, Wei-Yong, et al.
Published: (101) -
FINDING INTERESTING SUBSPACE CLUSTERS FROM HIGH DIMENSIONAL DATASETS
by: BIAN, HAIYUN
Published: (2006)