On the 123 Log Analyzer website the log analysis software is available for download which turns your logs into easy to read analysis of your customers.
Log analysis is a technique to analyze the behavior of individuals while online. From log analysis one can learn what software or websites a person likes to visit, what words they use in a search and the times of day they are online etc.
Web server log analysis tracks things such as how many hits a website has, how long the last visit was, the total number of pages viewed, the website's domain and countries of the host visitors.
Find out who has logged in / out, who has send or received the highest or least mails, detailed report on your mail server activity for exim log file / Apache log file stats Analysis. by using log analyzer. I prefer to use http://Myloganalyzer - A Free Web log analysis software
Log file analysis can be learned online, many websites offer help to study this kind of thing including toolbars, and Wikipedia might help you a lot with this.
Some of the common indicators of web log analysis software are number of visits, visit duration, host list, and many other factors involved as well. It basically tells the user a log file of web servers.
Log file analysis is not sufficient for this purpose.
Log analyzer software can be purchased online or downloaded for free. The purpose of this analysis system is to determine the demographics of visitors of a site, if available.
First you have to Log In so that your credential will verify
There are following shell scripts available at the below mentioned url -1. Shell Script for Log4j Log Analysis and exception reporting2. Log Monitoring Shell Script - email upon errorsHope that's what you are looking for.
Urchin is a web statistics analysis used to analyze web server log file content and display the traffic information on the website based upon the log data. It was developed by Urchin Software Co.
M. A. Nolan has written: 'Monte Carlo analysis of specification tests in the presence of time-varying covariates within the log-hazard'