The Application of Time-weighted Concept to Re-counting Sequence

• Main Authors: Guan-Wei Liou, 劉冠緯
• Other Authors: 羅淑娟
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/h8zp5m

碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 95 === In this period when we regard the satisfaction of one to one customer’ needs as a key to competition, we can raise the advantage for business competition if the business managers can effectively control the consuming behavior of customers and offer right services to satisfy customers’ needs at an appropriate time. Therefore, it becomes the essential factor in the profit of enterprises that we understand the change of consuming behavior of customers. In recent years, sequential pattern mining has been one of the research focuses on the rule of customer’s behavior. Nevertheless, it has been hardly discussed that different timing could affect the change of behavior to some extent. Because of that, this research will construct a model of predicting the state of customer’s behavior, which combines the time-weighted concept and re-counting sequence mining. In this model, the main purpose of time-weighted concept is to resolve the problem that the status of customer’s behavior varies in time, which results in obvious variety of sequence data to make analysis performances less desirable. And the re-counting sequence can mine for single customer-sequence, which is able to analyze those high-value or highly loyal customers in a one to one way and raise customer satisfaction. This method divides customer-sequence into several partitions according to time and gives each partition different weight to produce new prediction rules that interest managers.