Algorithmic Web Usage Mining Approach (SSPRA)

Improving Web Site Success through Algorithmic Web Usage Mining

Abstract

It is better in case of number of scanning which is compared with various pattern recognition algorithms like full scan. We also found that SSPRA is better and useful for finding the frequent data items that the user is searching for. Implementing web mining techniques on the processed data, should lead to concrete and meaningful suggestions for the betterment of the web site (fully or partially) in order to verify the impact of the changes suggested for improvising the success of the website, the access logs of the re-designed web site should be analyzed.