The week's pick
Reseach Article
Frequent Pattern Mining of Web Log Files Working Principles
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 157 - Number 3 |
| Year of Publication: 2017 |
| Authors: K. Suguna, K. Nandhini |
10.5120/ijca2017912642
|
K. Suguna, K. Nandhini . Frequent Pattern Mining of Web Log Files Working Principles. International Journal of Computer Applications. 157, 3 ( Jan 2017), 1-5. DOI=10.5120/ijca2017912642
Abstract
Frequent pattern mining plays a major role in mining of web log files. Web usage mining is the one of the web mining process that involves application of mining techniques to web server logs to extract the behavior of users. A web usage mining consists of three important phases: data preprocessing, patterns discovery and pattern analysis. In data preprocessing phase the unwanted data are removed and that are structured into necessary format for mining. It enables the user to translate the unprocessed data which is from server log files into useful data. The appropriate analysis of a web server log proves that the websites efficiently from the administrative and users’ prospective. Preprocessing results also more useful for the next phases of web usage mining.
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