期刊名称：BVICAM's International Journal of Information Technology
印刷版ISSN：0973-5658
出版年度：2015
卷号：7
期号：2
语种：English
出版社：Bharati Vidyapeeth's Institute of Computer Applications and Management
摘要：Clustering is an exploratory technique that structures the data items into groups based on their similarity or relativeness. Clustering is used in Web usage scenario to form clusters of users showing same behaviour and clusters of pages with similar or related information. The Clustering of users results in the establishment of groups of users with related browsing patterns. The most popular technique to find the clusters is the K-means clustering algorithm. This paper presents a technique to improve the Web session’s cluster quality using Subtractive clustering algorithm. In this paper, the Web Session clusters are obtained by using K-means algorithm initialized by subtractive clustering algorithm. The clusters formed are analysed using Profile Aggregation Based on Clustering of Transactions [PACT] algorithm. Web navigational data of the users accessing theWebsitehttp:// Submitted in May 2014; Accepted in March, 2015 www.enggresources.com in combined log format taken for a time window of 25 days is used as the raw data for the overall study and analysis.
