Comprehensive Analysis of Web Log Files for Mining
Verma Vikas, Ankit Verma, Sumit Bhatia · 2011
World Wide Web is a global village and rich source of information. Day by day number of web sites and its users are increasing rapidly. Information extracted from WWW may sometimes do not turn up to desired expectations of the user. A refined approach, referred as Web Mining, which is an area of Data Mining dealing with the extraction of interesting knowledge from the World Wide Web, can provide better result. While surfing the web sites, users ’ interactions with web sites are recorded in web log file. These Web Logs are abundant source of information. Such logs when mined properly can provide useful information for decision making. Mining of these Web Logs is referred to as Web Log Mining. This paper analyses web log data of NASA of the month of August 1995 of 15.8MB and depicts certain behavioral aspects of users using web log mining. access logs [6]. The different techniques are represented through Figure 1. However, not much concentration is done on techniques, since the focus of this paper is exclusively on web logs. Web usage data can include a variety of data from different sources. These sources can include web server access logs, proxy server logs, browser logs or any other data that is generated by users interacting with a website. The issues are outlined by Linoff and Berry [3].