Abstract
The success of a Web site is not measured in terms of the ingoing traffic but rather with respect to the business objectives pursued through Web presence. In the domain of Web merchandizing success is translated into accomplished purchases and statistics like conversion efficiency and micro-conversion rates have been proposed to quantify this notion of success. In other application areas success may be translated into signing a contract or establishing a contact to a physical person.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Baumgarten M, Büchner AG, Anand SS, Mulvenna MD, Hughes JG (2000) Navigation pattern discovery from Internet data. In: Masand B, Spiliopoulou M, editors (2000) Advances in Web Usage Mining and User Profiling: Proceedings of the WEBKDD’99 Workshop, LNAI 1836. Springer Verlag, Berlin Heidelberg New York, pp 70–87
Berendt B, Mobasher B, Spiliopoulou M, Wiltshire J (2001) Measuring the accuracy of sessionizers for Web usage analysis. In: Srivastava J, Ghosh J (eds) Proceedings of the Workshop on Web Mining at the First SIAM Int. Conf. on Data Mining. Chicago (IL), pp 7–14
Berendt B and Spiliopoulou M (2000) Analysing navigation behaviour in Web sites integrating multiple information systems. VLDB Journal: Special Issue on Databases and the Web, 9(1): pp 56–75
Cooley R, Mobasher B, Srivastava J (1999) Data preparation for mining World Wide Web browsing patterns. Journal of Knowledge and-Information Systems, 1(1): pp 5–32
Cutler M, Sterne J (2000) E-metrics —business metrics for the new economy. Technical report, NetGenesis Corp.http://www.netgen.com/emetrics/emetrics access date: July 22, 2001
Forsyth J, McGuire T, Lavoie J (2000) All visitors are not created equal. McKinsey market-ing practice. McKinsey & Company (Whitepaper)
Ives B, Learmoth GP (1984) The information system as a competitive weapon. Communications of the ACM, 27(12): pp 1193–1201
Janiszewski C (1998) The influence of display characteristics on visual exploratory search behaviour. Journal of Consumer Research, 25b(3): pp 290–301
Moe WW (forthcoming) Buying, searching, or browsing: Differentiating between online shoppers using in-store navigational clickstream. Journal of Consumer Psychologyhttp://www.bus.utexas.edu/faculty/Wendy.Moe/Taxonomy.pdf/faculty/Wendy.Moe/Taxonomy.pdf
Nielsen J (2000) Designing Web Usability: The Practice of Simplicity. New Riders, Indianapolis
Pohle C (2000) Datenaufbereitung für Data Mining: Gestaltung und Anwendung von Konzepthierarchien. Diploma Thesis, Humboldt-University Berlin, Berlin
Pohle C, Spiliopoulou M (2002) Building and exploiting ad hoc concept hierarchies for Web log analysis. In: Kambayashi Y, Winiwarter W, Arikawa M (eds) Proceedings of DaWaK 2002 (forthcoming), Springer Verlag, Aix en Provence, France
Spiliopoulou M, Faulstich LC (1999) WUM: A Tool for Web Utilization Analysis. In: Atzeni P, Mendelzon A, Mecca G (eds) Extended version of Proc. EDBT Workshop WebDB’98, LNCS 1590. Springer Verlag, Berlin Heidelberg New York, pp 184–203
Shneiderman B (1997) Designing information-abundant Web sites: Issues and recommendations. JHCS; Extracted and adapted from “Designing the User Interface: Strategies for Effective Human-Computer Interaction”, 3rd edn., Reading MA: Addison-Wesley, 1998.http://www.hbuk.co.uk/ap/ijhcs/webusability/shneiderman/shneiderman.html
Spiliopoulou M, Pohle C (2001) Data mining for measuring and improving the success of Web sites. In Ronny K, Forest P (eds) Journal of Data Mining and Knowledge Discovery, Special Issue on E-commerce, 5: pp 85–114. Kluwer Academic Publishers
Spiliopoulou M (1999) The laborious way from data mining to Web mining. Int. Journal of Comp. Sys., Sci. & Eng., Special Issue on “Semantics of the Web”, 14: pp 113–126
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Spiliopoulou, M., Pohle, C., Teltzrow, M. (2002). Modelling and Mining Web Site Usage Strategies. In: Weinhardt, C., Holtmann, C. (eds) E-Commerce. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57487-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-57487-0_13
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-642-63274-7
Online ISBN: 978-3-642-57487-0
eBook Packages: Springer Book Archive