Abstract
This paper presents a brief introduction on web mining techniques. It establishes the need for an intelligent, customised and user-friendly architecture to mine web content in an effective manner. The architecture described in this paper uses co-operative neuro-fuzzy approach to mine and classify web content into five categories using fuzzy user profile and sample training pages. The fuzzy logic component enables vague input to the base neural network and neural network component aids in learning about the user's interest in order to mine the web content effectively. The architecture is generic in nature and can be modified on requirement to mine the content from the given distributed environment.
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 callMore From: International Journal Of Data Mining And Emerging Technologies
Disclaimer: 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.
