Web Server Log Analysis System

Download Document/Synopsis
Web usage data is of prime importance these days. Web pages used on a day to day basis and various users logging on to a website are two major data categories of prime importance. Here we propose a web mining algorithm that proves better that most traditional web mining algorithms. We here track web data and use the E web miner algorithm for web log analysis and reporting. The algorithm works on Ecommerce data continuously scanning and going through the web log looking for patterns as suggested by user conditions. The algorithm is designed to look for various patterns that appear to be in any logical order. It is built to provide analytics data according to predefined algorithms built in for maximum performance and minimum processing time.


Advantages
  • The system is easy to install.
  • It will help the proprietor of webpage to arrange data more usefully.
  • It will also help to enhance the website by studding data, what his customers like more in his website.
  • It is cost-effective.
  • It maximizes accuracy.

Disadvantages
  • It uses lot of memory on the server to store the data.

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