• Mining Web log records to discover user access patterns of Web pages
  • For example: “after looking at a digital camera pages, 70% of users will look at memory card pages”
• Web log entry: URL requested, source IP address, time stamp, browser details, cookies, etc.Apply association and frequent pattern mining, and trend analysis
  • Low level details, need to be cleaned, condensed, and transformed
  • Use data stream mining techniques
• Applications: e-Commerce, improve Web system design (navigation and caching), Web page pre-fetching, adaptive Web sites (that depend upon user’s history)