Applying A Hybrid Data Cluste ring Technique in Customer Clustering-A Case Study of Automobile Dealership
| Autor: | Yu-Pei Liu, 劉玉培 |
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| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 Along with cultural and enterprises’ progress in these days, the industry development had great abilities to distribute massive material and large numbers of information for converting financial, human and physical resources into products or services. Especially the advance of technology surpasses more than the humanity’s absorbency。Furthermore, the current technology has provided us wireless access to the internet and the ability of sending documents around the globe electronically, and relatively inexpensive transportation to other parts of the world. Technological change is occurring at very quckly, it assists organization to allocated information resources much better and take products and communication easier such as customer valuation analysis and customer clustering. Customer Segmentation is very important technique in the marketing research. The most used clustering technologies includ K-Means clustering and Self-Organizing Map (SOM)。This study has been proposed Particle Swarm Optimization (PSO), a new method of Algorithm. There are both have some limitation and the pros and cons for these three algorithms and needs to be improved. Therefore, this study will mix these three algorithms for developing up a SK-PSO clustering analysis and build them into customer database in order to compute customer vales. This study expects to classify the customer profile and the database make by using SK-PSO clustering analysis instead of the traditional ways. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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