Skip to main content
SpringerLink
Log in

A Multidimensional Data Model Supporting Complicated Aggregations

  • Conference paper
  • First Online:
Advances in Web-Age Information Management (WAIM 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2118))

Included in the following conference series:

  • 324 Accesses

Abstract

A data cube is a collection of multidimensional data not only of one level, nor of all levels by one aggregation function, but of all levels by all aggregation functions admissible in an OLAP system. We propose a multidimensional data model that produces such kind of data cubes so that aggregation data of different levels can be kept consistent. The multidimensional data of different levels in a data cube are organized with so called aggregation nodes. We also define the operations on a data cube and illustrate the expressive power of the model by expressing analysis queries.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. Agrawal, A. Gupta, S. Sarawagi, Modeling Multidimensional Databases, ICDE’97: 232–243

    Google Scholar 

  2. J. Gray, A. Bosworth, A. Layman, H. Pirahesh, Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals, Microsoft Technical Report MSR-TR-95-22, 1995, available at http://www.research.microsoft.com/~gray/

  3. W. Lehner, Modeling Large Scale OLAP Scenarios, EDBT ‘98: 23–27

    Google Scholar 

  4. J. Li, H. Gao, A Multidimensional Data Model for Data Warehousing, Journal of Software, China, 2000, 11(7): 908–917

    Google Scholar 

  5. C. Li, X. Wang, A Data Model for Supporting Online Analytical Processing, CIKM’ 96: 81–88

    Google Scholar 

  6. T. B. Pedersen, C. S. Jensen, Multidimensional Data Modeling for Complex Data, ICDE ‘99: 336–345

    Google Scholar 

  7. P. Vassiliadis, Modeling Multidimensional Databases, Cubes and Cube Operations, SSDBM ‘98

    Google Scholar 

  8. P. Vassiliadis, T. Sellis, A Survey of Models for OLAP Databases, SIGMOD Record, 28(4), Dec. 1999: 64–69

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science, Henan University, Kaifeng, 475001, PRC

    Hongxing Tan

  2. Department of Mathematics, Henan University, Kaifeng, 475001, PRC

    Wenwen Qi

  3. Institute of Mathematics, Chinese Academy of Sciences, Beijing, 100080, PRC

    Hongxing Tan & Longxiang Zhou

Authors
  1. Hongxing Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wenwen Qi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Longxiang Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Information and Software Engineering, George Mason University, Fairfax, VA, 22030-4444, USA

    X. Sean Wang

  2. Department of Computer Science and Engineering, Northeastern University, Shenyang, 110004, China

    Ge Yu

  3. Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

    Hongjun Lu

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tan, H., Qi, W., Zhou, L. (2001). A Multidimensional Data Model Supporting Complicated Aggregations. In: Wang, X.S., Yu, G., Lu, H. (eds) Advances in Web-Age Information Management. WAIM 2001. Lecture Notes in Computer Science, vol 2118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47714-4_17

Download citation

  • DOI: https://doi.org/10.1007/3-540-47714-4_17

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42298-3

  • Online ISBN: 978-3-540-47714-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation