An optimized k-harmonic mean based clustering user navigation patterns

The web mining is an application process which plays an important role in analyzing the behavior of the website users. The web usage mining is a sub category of web mining has a major impact on web personalization. The main concept of the paper deals with the extraction of necessary information from web access log files and applying clustering for easy analyzing of navigational patterns for web personalization. The adapted k-harmonic algorithm is used for clustering the obtained navigational patterns from the various iterating process.