The web usage data consists of the data from web server logs, browser logs, proxy server logs and user profiles.
Usage data captures the identity or origin of Web users along with their browsing behavior at a Web site. Web usage mining itself can be classified further depending on the kind of usage data considered. They are web server data, application server data and application-level data.
It helps in knowing the user’s behavior over the web. Broadly, the process of Web usage mining is categorized into three sub processes.
1. Data pre-processing,
2. Pattern discovery tools,
3. Pattern analysis.
Web personalization makes use of web usage mining techniques, for knowledge acquisition process done by analyzing the user navigational patterns.
Visitors’ browsing behavior is recorded into web server log. The questions can be answered by analyzing log files such as what pages are being accessed frequently? From what search engine are visitors coming? Which browser and operating systems are most commonly used by visitors?
With the continual growth and propagation of e-commerce, Web services, and Web-based information systems, the volumes of click stream, transaction data, and user profile data collected by Web-based organizations in their daily operations has reached astronomical proportions.
Web usage mining
