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Web Site Reorganization Based on Topology and Usage Patterns

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Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

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Abstract

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.

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References

  1. Yang, Q., Zhang, H.: Web-log mining for predictive caching. IEEE Trans. Knowl. Data Eng. 15(4), 1050–1053 (2003)

    Article  Google Scholar 

  2. Li, Y., Zhang, C., Zhang, H.: Cooperative strategy web-based data cleaning. Appl. Artifi. Intell. 17(5–6), 443–460 (2003)

    Google Scholar 

  3. Pei, J., Han, J., Mortazavi-Asl, B., Zhu, H.: Mining access patterns effciently from web logs. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’00), Kyoto, Japan, pp. 396–407, April 2000

    Google Scholar 

  4. Shen, H.T., Ooi, B.C., Tan, K.: Giving meanings to WWW, ACM SIGM Multimedia, L.A., pp. 39–47 (2000)

    Google Scholar 

  5. Mano, M., Deepak, G.: Semantic web mining of un-structured data: challenges and opportunities. Int. J. Eng. 5(3), 268–276 (2011)

    Google Scholar 

  6. Wang, J., Liu, Y., Zhou, L., Shi, Y., Zhu X.: Pushing frequency constraint to utility mining model. In: ICCS, LNCS, vol. 4489, pp. 685–692. Springer, Heidelberg (2007)

    Google Scholar 

  7. Miller, C.S., Remington, R.W.: Implications for information architecture. Human Comput. Interact. J. IEEE Web Int. 19(3), 225–271 (2004)

    Article  Google Scholar 

  8. Geeta, R.B., Shashikumar G.T., PrasadReddy, PVGD.: Optimizing user’s access to web Pages, RJooiJA. Trans. World Wide Web-Spring 8(1), 61–66 (2008)

    Google Scholar 

  9. Garofalakis, Web Site optimization using page popularity. IEEE Int. Comput. 3940, 22–29 (1999)

    Google Scholar 

  10. Geeta, R.B, Shashikumar G.T., PrasadReddy PVGD.: In: Conference, Topological Frequency Utility Mining Model Springer International, SocPros 11, pp. 505–508 (2011)

    Google Scholar 

  11. Ying, J.-C., Tseng, V.S. Yu, P.S.: In: IEEE International Conference on Data Mining Workshops. IEEE Computer Society (2009)

    Google Scholar 

  12. Lee, Y.S., Yen, S.J., Hsiegh, M.C.: A lattice-based framework for interactively and incrementally mining web traversal patterns. Int. J. Web Inf. Syst. 197–207 (2005)

    Google Scholar 

  13. Lee, Y.S., Yen, S.J., Tu, G.H., Hsieh, M.C.: Mining traveling and purchasing behaviors of customers in electronic commerce environment. In: Proceedings of the EEE’04, pp. 227–230 (2004)

    Google Scholar 

  14. Geeta, R.B., Shashikumar G.T., PrasasdReddy PVGD.: Manager-members dis tributed software development reference model. In: IEEE International Advanced Computing Conference IACC 2009 Patiala, 6–7 March 2009

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information Technology, GMRIT, Rajam, AP, India

    R. B. Geeta

  2. Department of Computer Science, GMRIT, Rajam, AP, India

    Shashikumar G. Totad

  3. Department of CS and SE, Andhra University, Vizag, AP, India

    P. V. G. D. Prasad Reddy

Authors
  1. R. B. Geeta
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  2. Shashikumar G. Totad
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  3. P. V. G. D. Prasad Reddy
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Corresponding author

Correspondence to R. B. Geeta .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

  2. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  5. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

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Geeta, R. ., Totad, S.G., Reddy, P.V.G.D.P. (2014). Web Site Reorganization Based on Topology and Usage Patterns. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_89

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_89

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

  • eBook Packages: EngineeringEngineering (R0)

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