| Summary: | 碩士 === 國立虎尾科技大學 === 資訊管理研究所 === 95 === Since 2004, The Yunlin County Government in Taiwan starts to use a knowledge management system for document retrieval, electronic form and announcement systems etc. Most of the information systems can offer the user behavior by analyzing user logs. However, the knowledge management system in Yunlin County Government does not provide Yunlin County Government with the results to simultaneously analyze the user background data and user logs. Therefore, the research employs data mining techniques to analyze proxy server records and employee''s data and then discovers the knowledge of employee behavior for using the system. As a result, managers of the Government can refer the results to make appropriate knowledge management policies for the employee in the Government.
This research proposes a novel technique which simultaneously employs the Analytic Hierarchy Process (AHP) and Customer Lifetime Value (CLV) to specify the staff who frequently use the system in Yunlin County Government. By using the K-means algorithm and the Decision Tree algorithm, a predict model can be obtained for estimating the level of new staffs. The results can help Yunlin County Government to design the new knowledge management policy for them. For example, a package of training courses on using knowledge management system.
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