| Summary: | 碩士 === 國立成功大學 === 工程科學系專班 === 90 === Facing the increase popularity of broadband network, enterprises engaging in the management of broadband website not only evaluate and review their management achievement and traffic volume but also collect users’ Internet behavior, hobby, interest and other relevant information by different means. Also, they use analytic skills and prediction of users’ behaviors to synthesize the information collected, for proving the network managers with the tendency of enhancement on network broadband and the references of future service.
This study collects users’ log and find their access patterns by means of routers in LAN. This is to say that the study utilizes MRTG to capture the mechanism of SNMP Agent for recording the record to be analyzed. Also, the traffic volume of WWW Server is utilized to strength the function of Router that cannot filter the traffic of simple HTTP. This will improve other mechanisms other than Router itself, for solve the problems that Router cannot work out. In terms of the analysis of users’ behavior, the selective menu can be customized according to each customer’s preference to each item. This study combines the skill of Data Mining with On-Line Analytical Processing; OLAP to infer the knowledge and extract the information. The study also integrates all the information in the market to have optimal configuration. The result indicates the management of Website, users’ content using Website, the management of broadband traffic and the management efficiency of predicting users’ browsing behavior will be enhanced.
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