To build another log analyser (http://www.raditha.com/blog/archives/000715.html)

Awstats rescue Webdruid and Webalizer (http://www.raditha.com/blog/archives/000713.html)

The less well known log analysers (http://www.raditha.com/blog/archives/000711.html)

Analog Webalizer and Awstats (http://www.raditha.com/blog/archives/000710.html)

Web server log files are not just hit counters. They contain valuable information about the usage patterns of your website. Unforunately many web log analysis tools lay emphasis on telling you how many hits your site had or how many pages were seen and how many bytes were transferred.

A more usefull statistic would be which percentage of users came to your site went to a product information page, and which percentage of those users hit the checkout button, and which percentage actually completed their order. The trouble is the very nature of the web makes it nearly impossible to get accurate figures for such statistics.

However over periods of time, the errors present average out and it is possible to get a good indication of these ratios by properly mining the log file. That brings us back to square one, how do we get this information with traditional log analysers?

Traditional log analysers will produce weekly, monthly or daily charts for the usage of your site, but rarely do they allow you to create such charts for individual pages or referrrs - something very usefull if you run advertising campaigns on other sites.

Enter Log Mine. This new web log analyser / Mining tool will allow you to create just about any kind of report from the contents of your log file. Log Mine is not concerned about speed and it will be very greedy when it comes to taking up space on your hard disk/database but it will let you change your reporting without having to process gigabytes of log files each time.

Installation Guide | Download (http://www.raditha.com/downloads/LogMine-0.03.tar.gz) (Version 0.03 - May 04, 2006)