PERFORMING THE RETRIEVE STEP IN A CASE-BASED REASONING SYSTEM FOR DECISION MAKING IN INTRUSION SCENARIOS

Jesus Conesa, Angela Ribeiro

Abstract

The present paper describes implementation of a case-based reasoning system involved in a crisis management project for infrastructural building security. The goal is to achieve an expert system, capable of making decisions in real-time to quickly neutralize one or more intruders that threaten strategic installations. This article presents development of usual CBR stages, such as case representation, retrieval phase and validation process, mainly focusing on the retrieving phase, approaching it through two strategies: similarity functions and decision tree structures. The designing case, such as the discretization values that are adopted, will also discussed. Finally, results on the retrieving phase performance are shown and analyzed according to well-known crossvalidations, such as k-validations or leave-one-out. This work is supported by project CENIT-HESPERIA.

References

  1. Lopez de Mantaras, R., McSherry, D., Bridge, D., Leake, D., Smyth, B., Craw, S., Faltings, B., Maher, M., Cox, M., Forbus, K., Keane, M., Watson, I., 2006. Retrieval, Reuse, Revision, and Retention in CBR. The Knowledge Engineering Review, vol. 20, no. 3, pp. 215-240
  2. Shiu, S., Pal, S. K. , 2004. Foundations of Soft Case-Based Reasoning. John Wiley & Sons.
  3. Liao, T. W., Zhang, Z., Mount, C. R., 1998. Similarity measures for retrieval in case-based reasoning systems. Applied Artificial Intelligence, vol. 12, pp. 267-288.
  4. Mitchell, T., 1997. Machine Learning. McGraw-Hill.
  5. Anglada, M. V., 1997. An Improved Incremental Algorithm for Constructing Restricted Delaunay Triangulations. Computer & Graphics, 21(2):215-223.
  6. Buckinx, W., Moons, E., Poel, D. V. D., & Wets, G., 2004. Customer-adapted coupon targeting using feature selection. Expert Systems with Applications, 26, 509- 518.
  7. Kohavi, R., 1995. A study of cross-validation and bootstrap for accuracy estimation and model selection. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence 2(12): 1137-1143. (Morgan Kaufmann, San Mateo).
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Paper Citation


in Harvard Style

Conesa J. and Ribeiro A. (2009). PERFORMING THE RETRIEVE STEP IN A CASE-BASED REASONING SYSTEM FOR DECISION MAKING IN INTRUSION SCENARIOS . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 343-346. DOI: 10.5220/0001996403430346


in Bibtex Style

@conference{iceis09,
author={Jesus Conesa and Angela Ribeiro},
title={PERFORMING THE RETRIEVE STEP IN A CASE-BASED REASONING SYSTEM FOR DECISION MAKING IN INTRUSION SCENARIOS},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={343-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001996403430346},
isbn={978-989-8111-85-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - PERFORMING THE RETRIEVE STEP IN A CASE-BASED REASONING SYSTEM FOR DECISION MAKING IN INTRUSION SCENARIOS
SN - 978-989-8111-85-2
AU - Conesa J.
AU - Ribeiro A.
PY - 2009
SP - 343
EP - 346
DO - 10.5220/0001996403430346