Abstract
In this paper, we investigate two novel indexing schemes called DHS and D-HS+PSR(II) designed for use in case-based reasoning systems. D-HS is based on a matrix of cases indexed by their discretised attribute values. DHS+ PSR(II) extends D-HS by combining the matrix with an additional tree-like indexing structure to facilitate solution reuse. DHS+PSR(II)’s novelty lies in its ability to improve retrieval efficiency over time by reusing previously encountered solution patterns. Its benefits include its accuracy, speed and ability to facilitate efficient real time maintenance of retrieval knowledge as the size of the case-base grows. We present empirical results from an analyses of 20 casebases and demonstrate the technique to be of similar competency to C4.5 yet much more efficient. Its performance advantages over C4.5 are shown to be especially apparent when tested on case-bases which grow in size over time.
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References
Aha, D. W. and Breslow, L. Refining conversational case libraries. In Proceedings of the 2nd International Conference on Case-based Reasoning,-ICCBR-97, pp 267–276, Providence RI, USA, 1997.
Anand, SS; Patterson, DW and Hughes, JG. Knowledge Intensive Exception Spaces, AAAI-98, pp 574–579, 1998.
Cost, S.; and Salzberg, S. 1993. A Weighted Nearest Neighbour Algorithm for Learning with Symbolic Features. Machine Learning 10: 57–78.
Deangdej, J., Lukose, D., Tsui, E., Beinat, P. and Prophet, L. Dynamically creating indices for two million cases: A real world problem. In Smith, I. And Faltings, B. eds., Advances in Case-Based Reasoning, Lecture Notes in AI,.Springer-Verlag. 105–119. Berlin: Springer Verlag1996.
Fox, S. and Leake, D.B. Using Introspective reasoning to refine indexing. In roceedings of the 14th International Joint Conference on Artificial Intelligence. Montreal, Canada, August, pp 391–387. 1995.
Hanney, K. and Keane M. Learning Adaptation Rules from a Case-Base, Proc. Advances in Case-Based Reasoning, 3rd European Workshop, EWCBR-96, pp179–192, Lausanne, Switzerland, November 1996.
Hunt, J.E., Cooke, D.E. and Holstein, H. Case-memory and retrieval based on the immune system. 1st International Conference on Case-Based reasoning (ICCBR-95), pp 205–216, 1995.
McSherry, D. Automating case selection in the construction of a case library. Proceedings of ES99, the19th SGES International Conference on Knowledge-Based Systems and Applied Artificial Intelligence, Cambridge, pp 163–177, December 1999.
Patterson, D., Anand, S.S., Dubitzky, D. and Hughes, J.G. Towards Automated Case Knowledge Discovery in the M2 Case-Based Reasoning System, Knowledge and Information Systems:An International Journal, (1), pp 61–82, Springer Verlag, 1999.
Patterson, D; Anand, SS; Dubitzky, D and Hughes, JG. A Knowledge Light Approach to Similarity Maintenance for Improving Case-Based Competence. Workshop on Flexible Strategies for Maintaining Knowledge Containers 14th European Conference on Artificial Intelligence, ECAI 2000, pp 65–77, 2000.
Patterson, D., Rooney, N. & Galushka, M. Towards Dynamic Maintenance of Retrieval Knowledge in CBR. Proceedings of the 15th International FLAIRS Conference. AAAI Press, 2002
Patterson, D., Rooney, N. & Galushka, M. Efficient Similarity Determination and Case Construction Techniques For Case-Based Reasoning. 4th European Conference on CBR, pp 292–305, 2002.
Smyth, B. and Keane, M. Remembering to Forget.: A Competence-Preserving case Deletion Policy for Case-Based Reasoning Systems. Proceedings of 14th IJCAI, pp377–382. 1995.
Stanfill, C. and Waltz, D.,Towards Memory-based Reasoning. Communications of the ACM. 29(12): 1213–1228, 1986.
Wettschereck, D.; Aha, D.; and Mohri, T. A Review of Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms, Artificial Intelligence Review Journal, 1997.
Zhang, Z. and Yang, Q. Towards lifetime maintenance of case-based indexes for continual case-based reasoning. In Proceedings of the 8th International Conference on Artificial Intelligence: Methodology, Systems, Applications, Sozopol, Bulgaria, 1998.
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Patterson, D.W., Galushka, M., Rooney, N. (2003). Efficient Real Time Maintenance of Retrieval Knowledge in Case-Based Reasoning. In: Ashley, K.D., Bridge, D.G. (eds) Case-Based Reasoning Research and Development. ICCBR 2003. Lecture Notes in Computer Science(), vol 2689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45006-8_32
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DOI: https://doi.org/10.1007/3-540-45006-8_32
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