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Clickstream Analysis, Semiotic Interpretation and Semantic Text Mining for a Distance Measurement on the Hypertextual Map of an Internet-portal

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 138))

Abstract

For the web space a spatial approach is possible to use, locating crucial and attraction points of the apparently chaotic navigation process. According to a spatial approach it is possible to determine, at different levels of depth, the important crossroads of a portal (the centres of polarisation), that means the places where the fundamental choices of the different internauts for the construction of their navigation hypertext are made. Using text mining and semantic/semiotic web mining it is possible to estimate the a-priori distance matrix between two or more pages of an Internet-portal.

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References

  1. Camillo F.: e-CRM e clickstream analysis. In: AA.VV.: L’impresa dell’Intelligence. Sas Institute, Milano, (2002) 237–242.

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  2. Dulli S., Trotta M.: Problematiche di text mining per SAS Enterprise Miner. In: Camillo F., Tassinari G. (eds.): Data mining, web mining e crm, Franco Angeli, Milano, (2002) 65–78.

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  3. Lee J., M. Podlasek, E. Shonberg, R. Hoch, S. Gomory (2000) “Analysis and visualization of metrics for online merchandising”, Lectures Notes in Computer Science, Springer-Verlag.

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  4. Lee J., M. Podlasek (2001) “Visualization and analysis of clickstream data of online stores for understanding web merchandising”, Technical Report IBM Watson research center, Yorktown Heights, NY.

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© 2004 Springer-Verlag Berlin Heidelberg

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Camillo, F. (2004). Clickstream Analysis, Semiotic Interpretation and Semantic Text Mining for a Distance Measurement on the Hypertextual Map of an Internet-portal. In: Sirmakessis, S. (eds) Text Mining and its Applications. Studies in Fuzziness and Soft Computing, vol 138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45219-5_14

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  • DOI: https://doi.org/10.1007/978-3-540-45219-5_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05780-9

  • Online ISBN: 978-3-540-45219-5

  • eBook Packages: Springer Book Archive

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