Null Value Estimation in Web Environment by using Fuzzy Rule based K-Mean Clustering
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10.5120/12899-9822 |
Swati Agrawal and Kiran Pandey. Article: Null Value Estimation in Web Environment by using Fuzzy Rule based K-Mean Clustering. International Journal of Computer Applications 74(7):24-28, July 2013. Full text available. BibTeX
@article{key:article,
author = {Swati Agrawal and Kiran Pandey},
title = {Article: Null Value Estimation in Web Environment by using Fuzzy Rule based K-Mean Clustering},
journal = {International Journal of Computer Applications},
year = {2013},
volume = {74},
number = {7},
pages = {24-28},
month = {July},
note = {Full text available}
}
Abstract
In the Web environment web log file capture operational data generated through internet for analysing user's browsing behaviour and many other security issues. The captured operational data is useful for build use profile, web designing and acts as evidence in web forensic and many other security issues. In real world there are lots systems that participate in web environment having incomplete information because of that web log file affected through noise which lead many of inconvenience. Estimation and handling of these noises in web log is major issue in web forensic and other web related security issue. For evaluating that incomplete information null value estimation is very precious technique. This paper proposed a null value estimation technique based on fuzzy rule based k-means algorithm to deal with that noise. Proposed technique enhances the performance of k-means clustering algorithm by encapsulating advantage of fuzzy rule over that.
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