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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hayashi, Y. Tsuji, H. Saga, R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan (Hayashi, Y.; Tsuji, H.) || Department of Information and Computer Sciences, Kanagawa Institute of Technology, Atsugi, Japan (Saga, R.) |
| Abstract | A method for improving a visualized preference transition network by screening nodes in the network, where a node represents a product item, is described. The original preference transition network was developed not only for visualizing customer movements/trends in selecting items but also for finding the features of items. However, understanding such movements/trends and features is difficult when the network has many nodes and links. To solve this problem, the proposed method is a sensitivity analysis for identifying redundant nodes and links with adjustment of the threshold expressed by the Simpson coefficient. The effectiveness of this method was shown through a numerical experiment for 172 kinds of products, 2,227 customers, and their 90,000 sales records. |
| Starting Page | 524 |
| Ending Page | 528 |
| File Size | 492362 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424427932 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2009.5346868 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Marketing and sales Data visualization Data mining Sensitivity analysis Information analysis Information filtering Cybernetics USA Councils Computer networks Data analysis Information Filtering Data Mining Data Visualization Preference Analysis |
| Content Type | Text |
| Resource Type | Article |
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