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Link to original content: https://doi.org/10.1007/3-540-48298-9_4
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Managing Meta Objects for Design of Warehouse Data

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DataWarehousing and Knowledge Discovery (DaWaK 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1676))

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Abstract

In this work, we discuss issues about designing data in warehouses and make clear why meta objects are really important during designing data warehouse process. Our key ideas are deification and queries as objects. We harmonize objects and meta objects seamlessly in the design process by these ideas.We discuss an experimental prototype system called Harmonized Objects and Meta objects Environments (HOME).

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References

  1. Chaudhuri, S. and Dayal, U.: An Overview of DataWarehousing and OLAP Technology, SIGMOD Record 26-1 (1997), pp.65–74

    Article  Google Scholar 

  2. Elmasri, R. and Navathe, S.B.: Fundamentals of Database Systems, Benjamin (1989)

    Google Scholar 

  3. Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P. and Uthurusamy, R. (Eds): Advances in Knowledge Discovery and Data Mining, MIT Press (1996)

    Google Scholar 

  4. Inmon, W.H.: Building the Data Warehouse, John Wiley (1992)

    Google Scholar 

  5. Kimball, R.: The Data Warehouse Toolkit, John Wiley (1996)

    Google Scholar 

  6. Maes, P. and Nardi, D. (ed): Meta-Level Architectures and Reection. North-Holland (1988)

    Google Scholar 

  7. Miura, T. and Shioya, I.: Learning Concepts from Databases, Conference and Workshop of DEXA (1998)

    Google Scholar 

  8. Shioya, I. and Miura, T.: Clustering Concepts from Databases, proc. IEEE Tools with Artificial Intelligence (ICTAI) (1998)

    Google Scholar 

  9. Shioya, I. and Miura, T.: Coordination Languages for Flexible Databases, proc.KDEX (1998)

    Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Miura, T., Matsumoto, W., Shioya, I. (1999). Managing Meta Objects for Design of Warehouse Data. In: Mohania, M., Tjoa, A.M. (eds) DataWarehousing and Knowledge Discovery. DaWaK 1999. Lecture Notes in Computer Science, vol 1676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48298-9_4

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  • DOI: https://doi.org/10.1007/3-540-48298-9_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66458-1

  • Online ISBN: 978-3-540-48298-7

  • eBook Packages: Springer Book Archive

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