Abstract
This article deals with several aspects of a marketing-oriented analysis of web log files. It discusses their preprocessing and possible ways to enrich the raw data that can be gained from a web log file in order to facilitate a later use in different analyses. Further, we look at the question which requirements a good web log analysis software needs to meet and offer an overview over current and future analysis practices including their advantages and disadvantages.
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References
Perner, P., Fiss, G.: Intelligent E-marketing with Web Mining, Personalization, and User-Adpated Interfaces. In: Perner, P. (ed.) Advances in Data Mining. LNCS (LNAI), vol. 2394, pp. 37–52. Springer, Heidelberg (2002)
Apache HTTP Server Documentation Project: Combined Log Format (accessed, January 23, 2006), http://httpd.apache.org/docs/1.3/logs.html#combined
Perner, P.: Einrichtung zur automatischen Ermittlung der Nutzung von Web-Präsentationen und/oder On-line Verkaufsmodellen, Patent D 198 01 400.7-08
Microsoft SQL Server Analysis Services, http://www.microsoft.com/sql/technologies/analysis/default.mspx
Clicktracks Software, http://www.clicktracks.com/
Webtrends Software, http://www.webtrends.com
Deepmetrix Software, http://www.deepmetrix.com
Scherbina, A., Kuznetsov, S.: Clustering of Web Sessions Using Levenshtein Metric. In: Perner, P. (ed.) ICDM 2004. LNCS, vol. 3275, pp. 127–133. Springer, Heidelberg (2004)
Halvey, M., Keane, M.T., Smyth, B.: Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files. In: Perner, P., Imiya, A. (eds.) MLDM 2005. LNCS, vol. 3587, pp. 174–183. Springer, Heidelberg (2005)
Blanc, E., Giudici, P.: Sequence Rules for Web Clickstream Analysis. In: Perner, P. (ed.) Advances in Data Mining. LNCS (LNAI), vol. 2394, pp. 1–14. Springer, Heidelberg (2002)
Ahlemeyer-Stubbe: Analyseorientierte Informationssysteme = Data Warehouse. In: Perner, P. (ed.) Data Mining, Data Warehouse, and Knowledge Management, Proc. Industrial Conference on Data Mining ICDM, IBaI-Report 2001, pp. 30–39, ISSN 1431–2360
Rech, J., Althoff, K.-D.: Artificial Intelligence and Software Engineering - Status and Future Trends. Special Issue on Artificial Intelligence and Software Engineering, Zeitschrift Künstliche Intelligenz (3), 5–11 (2004)
Meo, R., Lanzi, P.L., Klemettinen, M. (eds.): Database Support for Data Mining Applications. LNCS, vol. 2682. Springer, Heidelberg (2004)
Meersman, R., Aberer, K., Dillon, T. (eds.): Semantic Issues in e-Commerce Systems, vol. 111 (2003)
W3 Schools: HTML URL-encoding Reference (accessed, January 23, 2006), http://www.w3schools.com/tags/ref_urlencode.asp
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Reichle, M., Perner, P., Althoff, KD. (2006). Data Preparation of Web Log Files for Marketing Aspects Analyses. In: Perner, P. (eds) Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining. ICDM 2006. Lecture Notes in Computer Science(), vol 4065. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11790853_11
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DOI: https://doi.org/10.1007/11790853_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36036-0
Online ISBN: 978-3-540-36037-7
eBook Packages: Computer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science
Keywords
- Internet Protocol
- Customer Relationship Management
- Data Preparation
- Internet Protocol Address
- Content Management System
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
