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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7200))

Abstract

Data repositories of complex organisations are often very large, and understanding which analytical queries are interesting for different kinds of decision makers, in the various possible situations, may be difficult. We propose to support the formulation of OLAP queries by using the knowledge of the context the decision maker is currently experiencing.

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References

  1. Berson, A., Smith, J.: Data Warehousing, Data Mining & OLAP. McGraw-Hill (1997)

    Google Scholar 

  2. Hammer, J., Garcia-Molina, H., Widom, J., Labio, W., Zhuge, Y.: The stanford data warehousing project. IEEE Data Eng. Bull. 18(2), 41–48 (1995)

    Google Scholar 

  3. Choong, Y.W., Laurent, D., Marcel, P.: Computing appropriate representations for multidimensional data. Data Knowl. Eng. 45(2), 181–203 (2003)

    Article  Google Scholar 

  4. Garrigós, I., Pardillo, J., Mazón, J.-N., Trujillo, J.: A Conceptual Modeling Approach for OLAP Personalization. In: Laender, A.H.F., Castano, S., Dayal, U., Casati, F., de Oliveira, J.P.M. (eds.) ER 2009. LNCS, vol. 5829, pp. 401–414. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  5. Mouloudi, H., Bellatreche, L., Giacometti, A., Marcel, P.: Personalization of MDX queries. In: BDA (2006)

    Google Scholar 

  6. Bellatreche, L., Giacometti, A., Marcel, P., Mouloudi, H., Laurent, D.: A personalization framework for OLAP queries. In: ACM 8th International Workshop on Data Warehousing and OLAP, DOLAP 2005, pp. 9–18. ACM (2005)

    Google Scholar 

  7. Gupta, H., Mumick, I.S.: Selection of views to materialize in a data warehouse. IEEE Trans. Knowl. Data Eng. 17(1), 24–43 (2005)

    Article  Google Scholar 

  8. Baralis, E., Paraboschi, S., Teniente, E.: Materialized views selection in a multidimensional database. In: Proceedings of 23rd International Conference on Very Large Data Bases VLDB 1997, pp. 156–165. Morgan Kaufmann (1997)

    Google Scholar 

  9. Agrawal, S., Chaudhuri, S., Narasayya, V.R.: Automated selection of materialized views and indexes in SQL databases. In: El Abbadi, A., Brodie, M.L., Chakravarthy, S., Dayal, U., Kamel, N., Schlageter, G., Whang, K.-Y. (eds.) Proceedings of 26th International Conference on Very Large Data Bases VLDB 2000, pp. 496–505. Morgan Kaufmann (2000)

    Google Scholar 

  10. Mistry, H., Roy, P., Sudarshan, S., Ramamritham, K.: Materialized view selection and maintenance using multi-query optimization. In: SIGMOD Conference, pp. 307–318 (2001)

    Google Scholar 

  11. Bolchini, C., Curino, C., Quintarelli, E., Schreiber, F.A., Tanca, L.: Context information for knowledge reshaping. Intl. Journal of Web Engineering and Technology 5(1), 88–103 (2009)

    Article  Google Scholar 

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Bolchini, C., Quintarelli, E., Tanca, L. (2012). Context Support for Designing Analytical Queries. In: Anastasi, G., Bellini, E., Di Nitto, E., Ghezzi, C., Tanca, L., Zimeo, E. (eds) Methodologies and Technologies for Networked Enterprises. Lecture Notes in Computer Science, vol 7200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31739-2_14

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  • DOI: https://doi.org/10.1007/978-3-642-31739-2_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31738-5

  • Online ISBN: 978-3-642-31739-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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