Skip to main content
SpringerLink
Log in

IC 2: An Interval Based Characteristic Concept Learner

  • Conference paper
AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

Included in the following conference series:

Abstract

Most classification algorithms suffer from an inability to detect instances of classes which are not present in the training set. A novel approach for characteristic concept rule learning called IC 2 is proposed in this paper.

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 189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Holte, R.C., Acker, L.E., Porter, B.W.: Concept of Learning and the Problem of Small Disjoints. In: IJCAI, pp. 813–818 (1989)

    Google Scholar 

  2. Davidsson, P.: Integrating Models of Discrimination and Characterization for Learning from Examples in Open Domains. In: IJCAI, pp. 840–845 (1997)

    Google Scholar 

  3. Michalski, R.S., Larson, J.B.: Selection of Most Representative Training Examples and Incremental Generation of VL Hypotheses: The Underlying Methodology and the Description of Programs ESEL and AQ11, Tecnical Report 877, Computer Science Department, University of Illinois, Urbana (1978)

    Google Scholar 

  4. John, G., Kohavi, R., Pfleger, K.: Irrelevent Features and the Subset Selection Problem. In: Proc. Int. Conf. on Machine Learning (1994)

    Google Scholar 

  5. Mitchell, A.R.: “Boosting” a Positive-Data-Only Learner. In: ICML, pp. 607–714 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia

    Pramod K. Singh

Authors
  1. Pramod K. Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Guangxi Normal University, College of CS and IT, Guilin, China, and University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia

    Shichao Zhang

  2. Department of Electrical and Computer Systems Engineering, Monash University, 3800, Melbourne, Victoria, Australia

    Ray Jarvis

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Singh, P.K. (2005). IC 2: An Interval Based Characteristic Concept Learner. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_118

Download citation

  • DOI: https://doi.org/10.1007/11589990_118

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation