Skip to main content

Task Skeleton Model: Intelligent Data Mining System

  • Chapter
Foundations and Applications of Mis

Part of the book series: IFSR International Series on Systems Science and Engineering ((IFSR,volume 24))

  • 423 Accesses

Abstract

Because the problem classification of Chapter 4 is a general one, any problem can be covered by it. Furthermore, because the methodology of Chapters 4 and 5 is also general, in principle every problem can be attacked by it. It is obvious, however, that there are problems that cannot be solved by it in practical sense. Extension of the basic extSLV of Fig. 4.5 is necessary to address more difficult problems. In the model theory approach there are two ways for extension: introduction of a hierarchical multilevel system [Takahara and Liu, 2005] and extension to a task skeleton model. This chapter introduces the task skeleton model. An intelligent data mining system is developed as a demonstration of the model.

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 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover 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

  • Takahara, Y., Iijima, J. and Shiba, N. (1993) “A model management system and its implementation,” System Science 19.

    Google Scholar 

  • Weiss, S. M. and Indurkhya, N. (1998) Predicative data mining: a practical guide, Morgan Kaufmann.

    Google Scholar 

  • Witten, I. H. and Frank, E. (1988) Data mining. Morgan Kaufmann.

    Google Scholar 

  • Mesarovic, M. D. and Takahara, Y. (1989) “Abstract Systems Theory,” Lecture Notes in Control and Information Sciences, Springer.

    Google Scholar 

  • Takahara, Y., Chen, X. and Shiba, N. (2003) Advances of DSS Design: General Systems Theory Approach, Economic Science Press.

    Google Scholar 

  • Takahara, Y. and Mesarovic, M. D. (2003) Organization Structure: Cybernetic Systems Foundation, Kluwer Academic Press.

    Google Scholar 

  • Takahara, Y. and Liu, Y. (2002) Intelligent Data Mining System, internal report, Dept. of Management Information Systems, Chiba Institute of Technology, Chiba, Japan.

    Google Scholar 

  • Takahara, Y. and Liu, Y. (2005) “Multi-level Systems Approach to Solver System Design,” Proceedings of 18th International Conference on System Engineering, Las Vegas, Nevada.

    Google Scholar 

Download references

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

(2006). Task Skeleton Model: Intelligent Data Mining System. In: Klir, G.J. (eds) Foundations and Applications of Mis. IFSR International Series on Systems Science and Engineering, vol 24. Springer, New York, NY. https://doi.org/10.1007/978-0-387-35840-6_13

Download citation

Publish with us

Policies and ethics