期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2019
卷号：67
期号：5
页码：99-103
DOI：10.14445/22312803/IJCTT-V67I5P117
出版社：Seventh Sense Research Group
摘要：Web Usage Mining is an application of Data Mining to generates pattern from the logs which is created when user interacts with websites. Web usage mining is about processing or analysing clickstream data. We can analyse these logs and can find out the user interest and can recommend pages based on user interest. In this paper we have applied Modified Apriori Algorithm on web logs to find patterns. Logs are first preprocessed and then modified Apriori is applied to find interesting pattern which can be used to predict the next page visit of user. The Modified Apriori Algorithm is fast as it requires less scan of database than the basic Apriori algorithm. We have used the dummy dataset and find the frequent patterns using Modified Apriori Algorithm. Modified Apriori is faster as compared to basic Apriori Algorithm as it requires less database scan and therefore suitable for many real time applications.
关键词：Pre-processing weblogs; web usage Mining; Modified Apriori algorithm; faster Apriori
