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International Symposium on Methodologies for Intelligent Systems

ISMIS 2002: Foundations of Intelligent Systems pp 203–212Cite as

Aggregates as Meta Functions

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 2366)

Abstract

OLAP operations have been widely accepted as a suitable method for decision support by data analysis. Among others, roll-up and drill-down are practically implemented by using database operations. However, we cannot define them as inverses of each other since they assume how to manage materialized views. In this work, we model these operators in the framework of meta objects, and extend relational algebra by introducing meta operators group and apply. Then we show two OLAP operations can be managed within the framework of (new) database operations.

Keywords

  • Data Warehousing Foundation
  • Metadata Management

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References

  1. Cabibbo, L. and Torlone, R.: A Framework for the Investigation of Aggregate Functions in Database Queries, proc. ICDT (1999),pp 383–397

    Google Scholar 

  2. S. Chaudhuri et al: An Overview of Data Warehousing and OLAP Technology. ACM SIGMOD Record, Vol. 26 No. 1 P. 65–74, March 1997

    CrossRef  MATH  Google Scholar 

  3. Fegaras, L. and Maier, D.: Towards An Effective Calculus for Object Query Languages, proc.SIGMOD (1995)

    Google Scholar 

  4. Gray, P.M.D.: LOGIC, ALGEBRA AND DATABASES, Sangyou ToSho (1989)

    Google Scholar 

  5. Jim Gray, Surajit Chaudhuri, Adam Bosworth, Andrew Layman, Don Reichart, Murali Venkatrao, Frank Pellow, Hamid Pirahesh: Data Cube: A Relational Aggregation Operator Generalizing Group-by, Cross-Tab,and Sub Totals, Data Mining and Knowledge Discovery 1(1): 29–53 (1997)

    CrossRef  Google Scholar 

  6. Klug, A.: Equivalence of Relational Algebra and Relational Calculus Query Languages Having Aggregate Functions, J. ACM, Vol. 29,No. 3, pp. 699–717 (1982)

    CrossRef  MATH  MathSciNet  Google Scholar 

  7. Miura, T., Matsumoto, W.: Managing Meta Objects for Design of Warehouse Data, proc.DaWaK (1999), pp. 33–40

    Google Scholar 

  8. Özsoyoglu, G., Özsoyoglu, Z.M. and Matos, V.: Extending Relational Algebra and Relational Calculus with Set-Valued Attributes and Aggregate Functions, ACM TODS vol 12, No. 4, pp. 566–592 (1987)

    CrossRef  Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. of Elect. and Elect. Engr, Hosei University, Kajinocho 3-7-2, Koganei, Tokyo, Japan

    Shingo Kashikawa, Shogo Ogura & Takao Miura

  2. Dept. of Informatics, SANNO University, Kamikasuya 1573, Isehara, Kanagawa, Japan

    Isamu Shioya

Authors
  1. Shingo Kashikawa
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  2. Shogo Ogura
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  3. Isamu Shioya
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  4. Takao Miura
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Editor information

Editors and Affiliations

  1. UFR d’Informatique, Université Claude Bernard Lyon I, 8, boulevard Niels Bohr, 69622, Villeurbanne Cedex, France

    Mohand-Saïd Hacid

  2. Dept. of Computer Science College of IT, University of North Carolina, Charlotte, NC, 28223, USA

    Zbigniew W. Raś

  3. Băt. L. Equipe de Recherche en Ingénierie des Connaissances, Université Lumière Lyon 2, 5, avenue Pierre Mendes-France, 69676, Bron Cedex, France

    Djamel A. Zighed

  4. LRI, Université Paris Sud, Băt. 490, 91405, Orsay Cedex, France

    Yves Kodratoff

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© 2002 Springer-Verlag Berlin Heidelberg

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Kashikawa, S., Ogura, S., Shioya, I., Miura, T. (2002). Aggregates as Meta Functions. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_24

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  • DOI: https://doi.org/10.1007/3-540-48050-1_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43785-7

  • Online ISBN: 978-3-540-48050-1

  • eBook Packages: Springer Book Archive

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