Skip to main content

The Research of an Intelligent Object-Oriented Prototype for Data Warehouse

  • Conference paper
Intelligent Computing (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4113))

Included in the following conference series:

  • 1588 Accesses

Abstract

In this paper, we intend to do research and implementation of an intelligent object-oriented prototype for data warehouse. We design an intelligent prototype with object-oriented methodology, also we summarize some basic requirements and data model constructing for applying data warehouse in population fields. Finally, we introduce the research of an agent-based algorithm to process the special information in data mining on data warehousing, together with the corresponding rule for mathematic model. It is fitful to be used especially on statistic field.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Inmon, W.H.: Building the Data Warehouse, 2nd edn. John Wiley, Chichester (1996)

    Google Scholar 

  2. Samos, J., Saltor, F., Sistac, J., Bardes, A.: Database Architecture for Data Warehousing- an Evolutionary Approach. In: DEXA, pp. 746–756 (1998)

    Google Scholar 

  3. Inmon, W.H.: Information Architecture for the 90’s- Legacy Systems, Operational Data store, Data Warehouse. PRISM Tech Topic 1(13) (1993)

    Google Scholar 

  4. Inmon, W.H.: The Operational Data Store. PRISM Tech Topic 1(17) (1993)

    Google Scholar 

  5. Valides-Perez, P.: Principles of Human-computer Collaboration for Knowledge-Discovery in science. Artificial Intelligence 107, 335–346 (1999)

    Article  Google Scholar 

  6. Widrow, B., Rumelhart, D.E., Lehr, M.A.: Neural networks -Application in Industry, Business and Science. Communication of ACM 37, 93–105 (1994)

    Article  Google Scholar 

  7. Wang, R., Storey, V., Firth, C.: Framework for Analysis of Data Quality Research. IEEE Trans. Knowledge and Data Engineering 7, 623–640 (1995)

    Article  Google Scholar 

  8. Alexander, B.: Computing Approximate Congestion Probabilities for a Class of All-Optical Networks. IEEE Journal On Selected Areas In Communications 11, 312–316 (1996)

    Google Scholar 

  9. Chung, S., Kashper, A., Ross, K.W.: Computing Approximate Congestion Probabilities for Large Loss Networks with State-dependent Routing. IEEE/ACM Trans. Networking 5, 112–121 (1993)

    Google Scholar 

  10. Ashwin, S.: Congestion in All-Optical Networks. IEEE/ACM Transactions On Networking 12 (April 2004)

    Google Scholar 

  11. Shortle John, F.: Dynamic Call-Congestion Algorithms for Telecommunications Networks. IEEE Transactions on Communications 51(5) (May 2003)

    Google Scholar 

  12. Allyn, R.: Dynamics of TCP traffic over ATM networks. IEEE Transactions on Communications 61(3) (March 2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yang, W., Hou, P., Fan, Y., Wu, Q. (2006). The Research of an Intelligent Object-Oriented Prototype for Data Warehouse. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_163

Download citation

  • DOI: https://doi.org/10.1007/11816157_163

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37271-4

  • Online ISBN: 978-3-540-37273-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics