Combination of Cluster Method for Segmentation of Web Visitors
Abstract: Clustering is one of
the important part in web usage miningfor the purpose of segmenting visitors.
This action is very important for web personalization orweb modification. In
this paper, we perform clustering of the web visitors using a combination of
methods of hierarchical and non-hierarchical clustering toward web log data.
Hierarchical clustering method used to determine the number of clusters, and
non-hierarchical clustering method is used in forming clusters. The stages of
cluster analysis are preceded by pre-processing the data and factor analysis.
With this approach, the owner of the web is more effective at finding access
patterns of web visitors and can have new knowledge about visitors’
segmentation. From the test applied on ITS’s web log data, 6 clusters of web
visitors are resulted. Among the 6 cluster, cluster 3 has the biggest number of
members. This information can be useful for web management to pay attention on
members’ behavioral patterns of the 3rd cluster’s either to make
personalization or modification on the web. The test results show the
feasibility and efficiency of application of this method.
Authore: Yuhefizar, Budi
Santosa, I Ketut Eddy P, Yoyon K. Suprapto
Journal Code: jptkomputergg130040
