Web Site Reorganization Based on Topology and Usage Patterns

  • R.  B. Geeta
  • Shashikumar G. Totad
  • P. V. G. D. Prasad Reddy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 236)


The behavioral web users’ access patterns help website administrator/web site owners to take major decisions in categorizing web pages of the web site as highly demanding pages and medium demanding pages. Human beings act as a spider surfing the web pages of the website in search of required information. Most of the traditional mining algorithms concentrate only on frequency/support of item sets (web pages set denoted as ps in a given web site), which may not bring considerably more amount of profit. The utility mining model focuses on only high utilities item sets (ps). General utility mining model was proposed to overcome weakness of the frequency and utility mining models. General utility mining does not encompass website topology. This limitation is overcome by a novel model called human behavioral patterns’ web pages categorizer (HBP-WPC) which considers structural statistics of the web page in addition to support and utility. The topology of the web site along with log file statistics plays a vital role in categorizing web pages of the web site. The web pages of the website along with log file statistics forms a population. Suitable auto optimization metric is defined which provides guidelines for website designers/owners to restructure the website based on behavioral patterns of web users.


Web mining Reorganization Log file Web site topology 


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Copyright information

© Springer India 2014

Authors and Affiliations

  • R.  B. Geeta
    • 1
  • Shashikumar G. Totad
    • 2
  • P. V. G. D. Prasad Reddy
    • 3
  1. 1.Department of Information TechnologyGMRITRajamIndia
  2. 2.Department of Computer ScienceGMRITRajamIndia
  3. 3.Department of CS and SEAndhra UniversityVizagIndia

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