Finding Web Log Groups with Geometric Data Analysis
نویسنده
چکیده
Researchers and marketing information specialists consider server based weblog data important grounds for studying web user behavior. This work suggests Geometric Data Analysis methods as tools for the visualization and interpretation of web page access patterns. Web-wide data logs are utilized to discover usage patterns, so to better serve the needs both of internet usage researchers and e-marketing specialists.
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تاریخ انتشار 2011