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Advanced Preprocessing Techniques used in Web Mining: A Study
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 101 - Number 13 |
| Year of Publication: 2014 |
| Authors: T.gopalakrishnan, M.kavya, V.s.gowthami |
10.5120/17747-8822
|
T.gopalakrishnan, M.kavya, V.s.gowthami . Advanced Preprocessing Techniques used in Web Mining: A Study. International Journal of Computer Applications. 101, 13 ( September 2014), 16-20. DOI=10.5120/17747-8822
Abstract
Web based applications are now increasingly becoming more popular among the users across the world. The user interactions with the applications are being tracked by the web log files that are maintained by the web server. For this purpose web usage mining (WUM) is being used. Web usage mining is the process of extracting user patterns from the web usage. In web usage mining, preprocessing plays a key role, since large amount of irrelevant information are present in the web. It is used to improve the quality and efficiency of the data. There are number of techniques available at preprocessing level of WUM. Different techniques are applied at preprocessing level such as data cleaning, data filtering, and data integration. In this paper, we present a survey on the various preprocessing techniques that have been used in order to improve the efficiency.
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