Noise Models in Inductive Concept Formation

Marina V. Fomina, Alexander P. Eremeev, Vadim V. Vagin

2013

Abstract

The problem of information generalization with account for the necessity of processing the information stored in real data arrays which may contain noise is considered. Noise models are presented, and a noise effect on the operation of generalization algorithms using the methods of building decision trees and forming production rules is developed. The results of program modeling are brought about.

References

  1. Vagin V., Golovina E., Zagoryanskaya A., Fomina M., 2008. Exact and Plausible Inference in Intelligent Systems. 2-nd Edition. (in Russian)
  2. Vagin V., Eremeev A., 2009. Methods and Tools for Modelling Reasoning in Diagnostic Systems. ISEIS 2009, Proceedings of the 11th International Conference on Enterprise Information Systems, Milan, Italy.
  3. Quinlan J., 1986. Induction of Decision Trees. In Machine Learning, 1.
  4. Quinlan J., 1996. Improved Use of Continuous Attributes in C 4.5. In Journal of Artificial Intelligence Research, Vol.4.
  5. Breiman L., Friedman J., Olshen R., Stone C., 1984. Classification and Regression Trees. Wadsworth, Belmont, California.
  6. Mookerjee V., Mannino M., Gilson R., 1995. Improving the Performance Stability of Inductive Expert Systems under Input Noise. In Information Systems Research Vol.6 (4).
  7. Vagin V., Fomina M., 2011. Problem of Knowledge Discovery in Noisy Databases. In Int. J. Mach. Learn. & Cyber. Vol.2. Springer Ferlag, Berlin.
  8. Quinlan J., 1986. The effect of noise on concept learning. In Machine Learning Vol. II , Chapter 6. Palo Alto, CA: Tioga.
  9. Vagin V., Fomina M., 2010. Methods and Algorithms of Information Generalization in Noisy Databases. In Advances in Soft Computing. 9th Mexican Intern. Conference on AI, MICAI 2010, Pachuca, Mexico, Proceedings, Part II. / Springer Verlag, Berlin.
  10. Vagin V., Fomina M., Kulikov A., 2008. The Problem of Object Recognition in the Presence of Noise in Original Data. In 10th Scandinavian Conference on Artificial Intelligence SCAI 2008.
  11. Merz C, Murphy P., 1998. UCI Repository of Machine Learning Datasets. Information and Computer Science University of California, Irvine, CA 92697-3425 http://archive.ics.uci.edu/ml/.
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Paper Citation


in Harvard Style

V. Fomina M., P. Eremeev A. and V. Vagin V. (2013). Noise Models in Inductive Concept Formation . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 444-450. DOI: 10.5220/0004420104440450


in Bibtex Style

@conference{iceis13,
author={Marina V. Fomina and Alexander P. Eremeev and Vadim V. Vagin},
title={Noise Models in Inductive Concept Formation},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={444-450},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004420104440450},
isbn={978-989-8565-59-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Noise Models in Inductive Concept Formation
SN - 978-989-8565-59-4
AU - V. Fomina M.
AU - P. Eremeev A.
AU - V. Vagin V.
PY - 2013
SP - 444
EP - 450
DO - 10.5220/0004420104440450