| Summary: | 碩士 === 國立交通大學 === 資訊學院碩士在職專班資訊組 === 98 === With the popularity of Internet, E-Mail has become one important communication media. It can be seen that e-mail is used for personal and enterprise business purpose. Not only the important interpersonal communication tool, but also the most important communication bridge for enterprise business. For example, e-mails play an important role in information exchange, commercial business and holiday greetings.
With the above observation, in this paper, we intend to discover community structures via email logs. E-mail of the historical data and content can be converged into a corporate knowledge data base. Since E-mail logs contain e-mail usage information, such as sending and receiving time, location, organize department, daily flow and so on, community structures mined from e-mail logs have considerable social behaviors for decision making and management. Therefore, this study implements a framework of mining community structures from e-mail logs which consists of pre-processing module, mining module and community module. Through the developed modules in this system, we can analyze the relationship between senders and recipients. Moreover, we could derive the relationship among departments and the relationship between departments and suppliers. Furthermore, we try to find out the impact on sales turnover of each department, and the influence on the revenue from the relationship between sales department and supply chain.
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