skip to main content
10.1145/315891.317905acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
Article
Free Access

Rule-based machine learning of spatial data concepts

Published:26 February 1995Publication History
First page image

References

  1. 1.Clark, P. and Niblett, T., The CN2 Algorithm, Machine Learning, Vol. 3, 1989, pp. 261-283. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.Gallion, R., St. Clair, D. C., Sabharwal, C. L., and Bond, W~E., Dynamic ID3: A Symbolic Learning Algorithm For Many- Valued Attribute Domains, Proceedings of the 1993 Symposium on Applied Computing, February 1993, pp. 14-20. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.Hayes-Rot. h, F. and Jacobstein, N., The State of Knowledge- Based Systems, Communications of the ACM, Vol. 37, No. 3, March 1994, pp. 27-39. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 4.Michalski, R. S., Mozetic, I., Hong, J., and Lavrac. N., The Multi-Purpose incremental Learning System AQ15 and its Testing Application to Three Medical Domains, Proceedings of the Fifth National Conference on Artificial Intelligence, Philadelphia: Morgan Kaufmann, 1986, pp. 1041-1045.Google ScholarGoogle Scholar
  5. 5.Michalski, R. S. and Chilausky, R., Learning by Being Told and Learning from Examples: An Experimental Comparison of the Two Methods of Knowledge Acquisition in the Context of Developing an Expert System for Soybean Disease Diagnosis, International journal of Policy Analysts and Information Systems, Vol. 4, 1980, pp. 125-160.Google ScholarGoogle Scholar
  6. 6.Quinlan, J. R., Induction of Decision Trees, Machine Learning, Vol. 1, 1986, pp. 81-106. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. 7.Sidles, J. M., Using Scanning, Automated Conversion, and Raster Data to Speed GIS Implementation and Lawer Cost, Proceedings of 1990 GIS/LIS Conference, Vol. 2, pp. 476-483.Google ScholarGoogle Scholar
  8. 8.Yonkman, T. W. and Ash, T., Integrating GIS with an Expert System: A Land Use Planning Aid for the Lr.S. Air Force, Proceedings of the Twelfth Annual ESRI User Conference, 1992, pp. 425-436.Google ScholarGoogle Scholar

Index Terms

  1. Rule-based machine learning of spatial data concepts

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SAC '95: Proceedings of the 1995 ACM symposium on Applied computing
      February 1995
      604 pages
      ISBN:0897916581
      DOI:10.1145/315891

      Copyright © 1995 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 February 1995

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • Article

      Acceptance Rates

      Overall Acceptance Rate1,650of6,669submissions,25%
    • Article Metrics

      • Downloads (Last 12 months)10
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader