Abstract
Web Usage mining part of broad field of Data mining is essential for co-relating the structure and un-structured data. This helps in identifying the interactivity aspects of the users with the websites with the help of logs from different sources. 291 active wikipedias are available as of October 2018 being an excellent source or candidate to explore the research aspects of Web usage mining through the clickstream data available. This is also to be considered as big data due to sheer volume of clickstream logs. This paper would deduce and analyse the activity patterns of users in Wikipedia based on clickstream dataset. The system adopts open source technologies which can analyse these data and visualize for appropriate interpretations
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
