An Analysis of Network Services Using Association Rules
Log server is significant for every organization network. It generates huge amount of data every day and of different types. The data holds valuable information which is complex to be interpreted unless with the aid of web log analysis tool. Association rules is a data mining technique which is able to derived patterns from data in log server files. This paper presents the analysis of log server data particularly on the usage of network services. An Appriori algorithm is implemented in the pattern discovery and a tool named UMPNA assist in the process of derive the patterns. The results from the analysis can help network administrator increase the network performance.
Log server file Association rule Appriori Algorithm
M.N.Noorhuzaimi S.Junaida R. Mohamad Mazrul
Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang, Kuantan, Pahang
国际会议
北京
英文
469-473
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）