WEB ANALYTICS - Analysing, Classifying and Describing Web Metrics with Fuzzy Logic

Darius Zumstein

Abstract

In the Internet economy, it has become a crucial task of electronic business to monitor and optimize websites, their usage and online marketing success. Web analytics, which is defined as the measurement, collection, analysis and reporting of Internet data, is an effective instrument of website management. First, this paper describes the technical functionality and use of web analytics and discusses different web metrics. Second, a fuzzy web analytics approach is proposed, which makes it possible to classify metrics precisely into more than one class at the same time. Third, a fuzzy web metrics index has been developed for multidimensional, intelligent web analysis. Fuzzy logic enables computing with words and more intuitive, human-oriented queries, segmentation and descriptions of metrics in natural language. Finally, a web analytics framework is suggested to analyze and control key performance indicators in a web controlling loop.

References

  1. Clifton, B., 2008. Advanced Web Metrics with Google Analytics, Wiley. New York.
  2. Fasel, D., Zumstein, D., 2009. A fuzzy Data Warehouse Approach for Web Analytics, In: Proceedings of the 2nd World Summit on the Knowledge Society (WSKS 2009), September 16-18, Crete, Greece.
  3. Galindo, J. (Ed.), 2008: Handbook of Research on Fuzzy Information Processing in Databases, Idea, Hershey.
  4. Kaushik, A., 2009. Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity, Wiley. New York.
  5. BĂ©langer, F., Fan, W., Schaupp, C., Krishen, A., Everhart, J., Poteet, D., Nakamoto, K., 2006. Web Site Success Metrics: Addressing the Duality of Goals, In: Communication of the ACM, Vol. 49, No. 12, pp. 114-116.
  6. Meier, A., Stormer, H., 2009. eBusiness and eCommerce: Managing the Digital Value Chain, Springer, Berlin.
  7. Meier, A., Schindler, G., Werro, N., 2008. Fuzzy Classification on Relational Databases, In: (Galindo 2008, pp. 586-614).
  8. Peterson, E. T., 2005. Web Site Measurement Hacks, O'Reilly. New York.
  9. Peterson, E. T., 2006. The Big Book of Key Performance Indicators, Available: www.webanalyticsdemystified. com (accessed 31st of January 2010).
  10. Phippen, A., Sheppard, Furnell, S., 2004. A practical evaluation of Web analytics, In: Internet Research, Vol. 14, pp. 284-293.
  11. Sterne, J., 2002. Web Metrics, Wiley. New York (2002) Web Analytics Association, 2009. Available: http://www.webanalyticsassociation.org/aboutus (accessed 31st of January 2010).
  12. Weischedel, B., Matear, S., Deans, K., 2005. The Use of eMetrics in Strategic Marketing Decisions: In: Int. Journal of Internet Marketing and Advertising. Vol. 2, pp. 109-125.
  13. Werro, N., 2008. Fuzzy Classification of Online Customers, Dissertation, University of Fribourg. http://ethesis. unifr.ch/theses/downloads.php?file=WerroN.pdf (accessed 31st of January 2010).
  14. Zadeh, L. A., 1965. Fuzzy Sets. In: Information and Control. Vol. 8, pp. 338-353.
  15. Zadeh, L. A., 1996. Fuzzy Logic = Computing with numbers, In: IEEE Transaction on Fuzzy Systems, Vol. 4, Is. 2, pp. 103-111.
  16. Zadeh, L. A., 1999. From Computing with Numbers to Computing with Words - From Manipulation of Measurements to Manipulation of Perceptions. In: IEEE Transactions on Circuits and Systems, Vol. 45, No. 1, pp.105-119.
  17. Zadeh, L. A., 2004. A note on web intelligence, world knowledge and fuzzy logic, In: Data & Knowledge Engineering, Vol. 50, pp. 291-304.
  18. Zimmermann, H.-J., 1992. Fuzzy Set Theory and its Applications, Kluwer. London.
  19. Zumstein, D., Kaufmann, M., 2009. A Fuzzy Web Analytics Model for Web Mining, In: Proc. of IADIS Europ. Conf. on Data Mining. June 18-20, Algarve, Portugal.
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Paper Citation


in Harvard Style

Zumstein D. (2010). WEB ANALYTICS - Analysing, Classifying and Describing Web Metrics with Fuzzy Logic . In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, ISBN 978-989-674-025-2, pages 282-290. DOI: 10.5220/0002778502820290


in Bibtex Style

@conference{webist10,
author={Darius Zumstein},
title={WEB ANALYTICS - Analysing, Classifying and Describing Web Metrics with Fuzzy Logic},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,},
year={2010},
pages={282-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002778502820290},
isbn={978-989-674-025-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,
TI - WEB ANALYTICS - Analysing, Classifying and Describing Web Metrics with Fuzzy Logic
SN - 978-989-674-025-2
AU - Zumstein D.
PY - 2010
SP - 282
EP - 290
DO - 10.5220/0002778502820290