Mining on-line newspaper web access logs

With the explosive growth of data available on the Internet, 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.

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