Thesis Abstract and Dissertation Abstracts
Private And Secure Hyperlink Navigability Assessment In Web Mining Information System
Abstract Category: I.T.
Course / Degree: M.Tech. (Information Security)
Institution / University: Ambedkar Institute of Technology, Geeta Colony, Delhi, India
Published in: 2011
This Dissertation focus on current study about how to extract the useful information on the web and also give the superficial knowledge and comparison about data and web mining. This dissertation describes the current, past and future of web mining and categories it. In this report, online resources for retrieval Information on the web that is web content mining (WCM) and the discovery of user access patterns from web servers that is web usage mining (WUM) and navigability in website that is web structure mining (WSM) that improve the data mining drawback.
The information explosion in World Wide Web has increased the interest in Web usage mining techniques in both commercial and academic areas. Study of interested web users provide valuable information for web designers to quickly respond to their individual needs and for the efficient organization of the website. Among the several approaches like Association rule mining, classification and clustering to extract knowledge from user’s navigation data. This dissertation uses classification of Web log data to discover knowledge from web log files and extract knowledge mining from content and index page. Here, present detection of Remote file inclusion Attack & create secure session; based on content page. At the end, proposed a model for Web Mining based Secure Navigability Evaluation of Website.
Dissertation Keywords/Search Tags:
Website Navigability, Web Usage Mining, Web Structure Mining, Remote file inclusion, Privacy.
This Dissertation Abstract may be cited as follows:
No user preference. Please use the standard reference methodology.
Submission Details: Dissertation Abstract submitted by Kavita Sharma from India on 28-May-2011 16:55.
Abstract has been viewed 3815 times (since 7 Mar 2010).
Kavita Sharma Contact Details: Email: kavitasharma_06@yahoo.co.in
Disclaimer
Great care has been taken to ensure that this information is correct, however ThesisAbstracts.com cannot accept responsibility for the contents of this Dissertation abstract titled "Private And Secure Hyperlink Navigability Assessment In Web Mining Information System". This abstract has been submitted by Kavita Sharma on 28-May-2011 16:55. You may report a problem using the contact form.
© Copyright 2003 - 2024 of ThesisAbstracts.com and respective owners.