Mining on-line newspaper web access logs
Paulo Victor de S. Batista · 2001
With the explosive growth of data available on the Intemet, discovery and analysis of useful information from web log data becomes a practical necessity. However, analysis of large web log files is a complex task not fully addressed by existing web access analyzers. Using commercial software, we applied data mining technology to analyze access log records collected on a web newspaper. We have identified several reading patterns and we discuss approaches for mining this data.