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Empirical analysis of inductive knowledge acquisition methods

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H. M. ChungAuthors Info & Claims

ACM SIGART Bulletin, Issue 108

Pages 156 - 159

https://doi.org/10.1145/63266.63294

Published: 01 April 1989 Publication History

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Abstract

The performance of modeling techniques in emulating expert decision making behavior at classification tasks might be contingent upon the characteristics of tasks to which the model is applied.

References

[1]

Afifi, A. and Clark, V., Computer-Aided Multivariate Analysis, Wadsworth, Inc., London, (1984).

Digital Library

Google Scholar

[2]

Breiman, L., Frieman, J., Olshen, R., and Stone, C., Classification and Regression Trees, Wadsworth, Inc., Belmont, 1983.

Google Scholar

[3]

Carter, C. and Catlett, J., "Assessing Credit Card Applications Using Machine Learning," IEEE Expert, Fall (1987), pp. 71-79.

Crossref

Google Scholar

[4]

Carmerer, C., "General Conditions for the Success of Bootstrapping Models," Organizational Behavior and Human Performance, 27 (1981), pp. 411-422.

Crossref

Google Scholar

[5]

Chandrasekaran, B. and Keuneke, A., "Classification Problem Solving: A tutorial from an AI perspective," in Pattern Recognition Theory and Applications, P. Devijver and J. Kittler (Eds.), Spring-Veralg, (1987), 393-409.

Digital Library

Google Scholar

[6]

Chung, H.M., A Comparative Simulation of Expert Decisions: An Empirical Study, Information Systems Working paper #5-88, AGSM, UCLA, 1987.

Google Scholar

[7]

Clancey, W., "Heuristic Classification," in Knowledge Based Problem Solving, J. Kowalik (Ed.), Prentice Hall, (1986), pp. 1-67.

Digital Library

Google Scholar

[8]

Cohen, P. and Lieberman, M., "A Report on FOLIO: An Expert Assistant for Portfolio Management," in Proceedings of the Eighth International Joint Conference on Artificial Intelligence, A. Bundy (Ed.), William Kaufman, Los Altos, (1983), pp. 212-214.

Google Scholar

[9]

Dawes, R. and Corrigan, B., "Linear Models in Decision Making," Psychological Bulletin, 81, 2 (1974), pp. 95-106.

Crossref

Google Scholar

[10]

Einhorn, H., Kleinmuntz, D., and Kleinmuntz, B., "Linear Regression and Process Tracing Models of Judgement," Psychological Review, 86, 5 (1979), pp. 465-485.

Crossref

Google Scholar

[11]

Expert Systems, letter, Expert Systems, 1, 1 (85), pp.20.

Google Scholar

[12]

Feigenbaum, E. and McCorduck, P., The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World, Addison-Wesley, Reading, 1983.

Digital Library

Google Scholar

[13]

Fox, M., "Knowledge Representation for Decision Support," in Knowledge Representation for DSS, L. Methlie and R. Sprague (Eds.), Elsevier, Amsterdam, (1985), pp. 3-26.

Google Scholar

[14]

Gal, G. and Steinbart, P., "The Use of Rule-Based Expert Systems to Investigate the Effects of Experience on Audit Judgements," in Proceedings of the Seventh International Conference on Information Systems, (1986), pp. 206-213.

Google Scholar

[15]

Greene, D., "Automated Knowledge Acquisitiohn: Overcoming the Expert System Bottleneck," Proceedings of the Eighth International Conference on Information Systems, J. DeGross and C. Kriebel (Eds.), Pittsburgh, (1987), pp. 107-117.

Google Scholar

[16]

Hansen, J. and Messier, W., "A preliminary Test of EDP-XPERT," in Proceedings of Symposium on Expert Systems and Audit Judgement, University of Southern California, 1986.

Google Scholar

[17]

Harmon, P. and King, D., Expert Systems: Artificial Intelligence in Business, John Wiley, New York, 1985.

Digital Library

Google Scholar

[18]

Hayes-Roth, F., waterman, D., and Lenat, D., Building Expert Systems, Addison-Wesley, New York, 1983.

Digital Library

Google Scholar

[19]

Hoffman, P., "The Paramorphic Representation of Clinical Judgement," Psychological Bulletin, 57, 2 (1960), pp. 116-131.

Crossref

Google Scholar

[20]

Holland, J., Adaptation in Natural and Artifical Systems, University of Michigan Press, 1975.

Digital Library

Google Scholar

[21]

Hunt, E., Marvin, J., and Stone, P., Experiments in Induction, Academic Press, New York, 1966.

Google Scholar

[22]

Kaplan, R. and Urwitz, G., "Statistical Models of Bond Ratings: A Methodological Inquiry," Journal of Business, 52 (1979), pp. 231-262.

Crossref

Google Scholar

[23]

Michalski, R., "A Theory and Methodology of Inductive Learning," in Machine Learning: An Artificial Intelligence Approach, R. Michalski, J. Carbonell, and Mitchell (Eds.), Tioga Press, (1983), pp. 83-134.

Google Scholar

[24]

Michalski, R. and Chilauski, R., "Knowledge Acquisition by Encoding Expert Rules versus Computer Induction from Examples: A Case Study Involving Soybean Pathology," International Journal of Man-Machine Studies, 12 (1980), pp. 63-87.

Crossref

Google Scholar

[25]

Michie, D., "The State of the Art in Machine Learning," in Introductory Readings in Expert Systems, D. Michie (Ed.), Gordon and Breach, London, (1983), pp. 208-230.

Google Scholar

[26]

Mintzberg, H., Structures in Fives: Designing Effective Organizations, Prentice-Hall, 1983.

Google Scholar

[27]

Quinlan, J., "Discovering Rules by Induction from large Collection of Examples," in Expert Systems in Microelectronic Age, D. Michie (Ed.), Edinburgh University Press, Edinburgh, (1979), pp. 169-201.

Google Scholar

[28]

Quinlan, J., "Learning Efficient Classification Procedures and Their Application to Chess End Games," in Machine Learning: An AI Approach, R. Michalski, T. Mitchell, and J. Carbonell (Eds.), Tioga Publishing, Palo Alto, 1 (1983), pp. 463-482.

Google Scholar

[29]

Scott, Morton, M., Luconi, F., and Malone, T., "Expert Systems: The Next Challenge for Managers," Sloan Management Review, 3(1986), pp. 3-14.

Digital Library

Google Scholar

[30]

Simon, H., The New Science of Management Decision, Prentice-Hall, 1977.

Digital Library

Google Scholar

[31]

Sprowls, C., An Expert System Tutorial for Managers, Part I: Introduction with Forward Chaining Rules, Information Systems Working paper #9-88, AGSM, UCLA, 1988.

Google Scholar

[32]

Sviokla, J., "Business Implications of Knowledge-Based Systems," Data Base, 17, 4 (1986), pp. 5-19.

Digital Library

Google Scholar

[33]

Turban, E. and Watkins, P., "Integrating Expert Systems and DSS," MIS Quarterly, 10, 2 (1986), pp. 121-138.

Digital Library

Google Scholar

[34]

Waterman, D., A Guide to Expert Systems, Addison-Wesley, New York, 1986.

Digital Library

Google Scholar

[35]

Wright, G., Behavioral Decision Making, Plenum Press, New York, 1985.

Google Scholar

[36]

Zeleny, M., Multiple Criteria Decision Making, McGraw-Hill, New York, 1982.

Google Scholar

Cited By

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Mitri M(1998)MAPS: A Planning System for International Market EntryIntelligent Systems in Accounting, Finance & Management10.1002/(SICI)1099-1174(199606)5:2<57::AID-ISAF92>3.0.CO;2-75:2(57-72)Online publication date: 4-Dec-1998
https://doi.org/10.1002/(SICI)1099-1174(199606)5:2<57::AID-ISAF92>3.0.CO;2-7
Mitri M(1995)MAPS: an international market entry planning systemProceedings the 11th Conference on Artificial Intelligence for Applications10.1109/CAIA.1995.378800(354-360)Online publication date: 1995
https://doi.org/10.1109/CAIA.1995.378800

Index Terms

Empirical analysis of inductive knowledge acquisition methods
1. Computing methodologies
  1. Machine learning
    1. Learning settings
    2. Machine learning approaches
      1. Logical and relational learning
        Inductive logic learning

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Information & Contributors

Information

Published In

ACM SIGART Bulletin Just Accepted

Special issue on knowledge acquisition

April 1989

205 pages

ISSN:0163-5719

DOI:10.1145/63266

Editor:
Chris Westphal
Univ. of Southern California, Los Angeles

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 1989

Published in SIGAI , Issue 108

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Mitri M(1998)MAPS: A Planning System for International Market EntryIntelligent Systems in Accounting, Finance & Management10.1002/(SICI)1099-1174(199606)5:2<57::AID-ISAF92>3.0.CO;2-75:2(57-72)Online publication date: 4-Dec-1998
https://doi.org/10.1002/(SICI)1099-1174(199606)5:2<57::AID-ISAF92>3.0.CO;2-7
Mitri M(1995)MAPS: an international market entry planning systemProceedings the 11th Conference on Artificial Intelligence for Applications10.1109/CAIA.1995.378800(354-360)Online publication date: 1995
https://doi.org/10.1109/CAIA.1995.378800

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