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Higher Education Web Information System Usage Analysis with a Data Webhouse

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Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3983))

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Abstract

Usage analysis of a Web Information System is a valuable help to predict user needs, to assess system’s impact and to guide to its improvement. This is usually done analysing clickstreams, a low-level approach, with huge amounts of data that calls for data warehouse techniques. This paper presents a dimensional model to monitor user behaviour in Higher Education Web Information Systems and an architecture for the extraction, transformation and load process. These have been applied in the development of a data warehouse to monitor the use of SIGARRA, the University of Porto’s Higher Education Web Information System. The efficiency and effectiveness of this monitorization method were confirmed by the knowledge extracted from a 3 month period analysis. A brief description of the main results and recommendations are also described.

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References

  1. Andersen, J., Giversen, A., Jensen, A.H., Larsen, R.S., Pedersen, T.B., Skyt, J.: Analyzing Clickstreams Using Subsessions. In: Proceedings of the 3rd ACM International Workshop on Data Warehousing and OLAP, pp. 25–32. ACM Press, New York (2000)

    Chapter  Google Scholar 

  2. Berendt, B., Spiliopoulou, M.: Analysis of Navigation Behaviour in Web Sites Integrating Multiple Information Systems. The VLDB Journal 9(1), 56–75 (2000)

    Article  Google Scholar 

  3. Chen, M.S., Park, J.S., Yu, P.S.: Data Mining for Path Traversal Patterns in a Web Environment. In: Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS 1996), p. 385. IEEE Computer Society, Los Alamitos (1996)

    Chapter  Google Scholar 

  4. Cooley, R.: The Use of Web Structure and Content to Identify Subjectively Interesting Web Usage Patterns. ACM Trans. Inter. Tech. 3(2), 93–116 (2003)

    Article  Google Scholar 

  5. Cooley, R., Mobasher, B., Srivastava, J.: Data Preparation for Mining World Wide Web Browsing Patterns. Knowledge and Information Systems 1(2) (1999)

    Google Scholar 

  6. Eirinaki, M., Vazirgiannis, M.: Web Mining for Web Personalization. ACM Trans. Inter. Tech. 3(1), 1–27 (2003)

    Article  Google Scholar 

  7. Joshi, K.P., Joshi, A., Yesha, Y., Krishnapuram, R.: Warehousing and Mining Web Logs. In: Proceedings of the Second International Workshop on Web Information and Data Management, pp. 63–68. ACM Press, New York (1999)

    Chapter  Google Scholar 

  8. Kimball, R., Merz, R.: The Data Webhouse Toolkit. John Wiley & Sons, Inc, Chichester (2000)

    Google Scholar 

  9. Kimball, R., Reeves, L., Ross, M., Thornthwaite, W.: The Data Warehouse Lifecycle Toolkit. John Wiley & Sons, Inc., Chichester (1998)

    Google Scholar 

  10. Kohavi, R.: Mining e-Commerce Data: The Good, The Bad, and The Ugly. In: Proceedings of the seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 8–13. ACM Press, New York (2001)

    Chapter  Google Scholar 

  11. Li, R., Salz, J.: Clickstream Data Warehousing. ArsDigita Systems Journal (2000), Available from, http://www.eveandersson.com/arsdigita/asj/clickstream/ [cited September 11, 2005)

  12. Masand, B.M., Spiliopoulou, M., Srivastava, J., Zaiane, O.R.: WEBKDD 2002: Web Mining for Usage Patterns & Profiles. SIGKDD Explor. Newsl. 4(2), 125–127 (2002)

    Article  Google Scholar 

  13. Srivastava, J., Cooley, R., Deshpande, M., Tan, P.-N.: Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. SIGKDD Explor. Newsl. 1(2), 12–23 (2000)

    Article  Google Scholar 

  14. Sweiger, M., Madsen, M.R., Langston, J., Lombard, H.: Clickstream Data Warehousing. John Wiley & Sons, Inc., Chichester (2002)

    Google Scholar 

  15. Yan, T.W., Jacobsen, M., Garcia-Molina, H., Dayal, U.: From User Access Patterns to Dynamic Hypertext Linking. Computer Networks ISDN System 28(7-11), 1007–1014 (1996)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. ESTSP/FEUP, Portugal

    Carla Teixeira Lopes

  2. INESC-Porto/FEUP, Portugal

    Gabriel David

Authors
  1. Carla Teixeira Lopes
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  2. Gabriel David
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd.,, Cathedral House 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Lopes, C.T., David, G. (2006). Higher Education Web Information System Usage Analysis with a Data Webhouse. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_9

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  • DOI: https://doi.org/10.1007/11751632_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34077-5

  • Online ISBN: 978-3-540-34078-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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