Title :
An analysis of network services using association rules
Author :
Noorhuzaimi, M.N. ; Junaida, S. ; Mazrul, R. Mohamad
Author_Institution :
Fac. of Comput. Syst. & Software Eng., Univ. Malaysia Pahang, Kuantan, Malaysia
Abstract :
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.
Keywords :
Internet; computer network performance evaluation; data mining; file servers; Web log analysis tool; appriori algorithm; association rule; data mining technique; log server file; network administrator; network performance; network service analysis; organization network; Association rules; Condition monitoring; Data mining; File servers; Information analysis; Network servers; Pattern analysis; Performance analysis; Protocols; Web server; Appriori Algorithm; Association rule; Log server file;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234905
