命理在華人社會中一直有很大的影響力，近年來隨著使用網際網 路的人口快速增長，在台灣命理相關網站日漸風行。本研究使用資料 探勘工具，針對台灣民眾使用網路算命行為，分析網路算命使用者的 個人特質、使用行為以及使用者動機。本研究以約略集合理論（Rough Set Theory）、決策樹（Decision Tree）與貝氏網路（Bayesian Net-work）的資料探勘方法來進行分析，希望能區隔民眾使用網路算命之特徵、偏好，以瞭解台灣民眾使用網路算命的趨勢。研究發現：網路算命使用者與其個人宗教信仰以及網路宗教的使用密切關係，有朝向上班族及高學歷兩種趨勢，本研究結果將有助於增進對網路算命研究課題之瞭解，同時也可以提供網路業者做為經營參考。

Fortune telling has always been influential in Chinese society. In recent years, internet users have increased considerably in number. This has led to attention to internet-related behavior and characteristics. This study aims to understand the motivation and behavior pattern for Taiwanese users of on-line fortune telling. This paper proposes a method that links the rough set theory, Bayesian network and decision tree modeling for causal analysis. According to our research, usage of on-line fortune telling is related to users’ religion and online religion experience. On the other hand, there are a growing number of welleducated people and full-time workers who use online fortune telling. Data mining results for targeting marketing to on-line users can offer Internet enterprises information for marketing decision making. Based on the findings of this study, conclusions and implications for management are discussed.