Abstract
This paper describes an application of CBR with decision tree induction in a manufacturing setting to analyze the cause for defects reoccurring in the domain. Abstraction of domain knowledge is made possible by integrating CBR with decision trees. The CID approach augments the recall and reuse done by CBR with statistical analysis that is focused towards the discovery of connections between specific defects and their possible causes. We show that this discovery also gives a pointer towards a corresponding corrective action.
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Aha, D.W., Kibler, D., Albert, M.K.: Instance Based Learning Algorithms. Machine Learning 6, 37–66 (1991)
Salzberg, C.S.: A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features. Machine Learning 10, 57–78 (1993)
Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann Publishers, San Francisco (1993)
Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco (2001)
Khemani, D., Radhika Selvamani, B., Dhar, A.R., Michael, S.M.: InfoFrax: CBR in fused cast refractory manufacture. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 560–574. Springer, Heidelberg (2002)
Michael, S.M., Khemani, D.: Knowledge Management in Manufacturing Technology. In: Proceedings of the International Conference on Enterprise Information System, Ciudad Real, Spain, vol. I, pp. 506–512 (2002)
Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Francisco (1993)
Radhika Selvamani, B., Khemani, D.: Investigating Cause for Failures in Discrimination Tree from Multiple Views. In: The proceedings of the International Conference of Knowledge Based Computer Systems, Mumbai, December 11-14 (2002)
Radhika Selvamani, B., Khemani, D.: Managing Experience for Process Improvement in Manufacturing. In: The proceedings of the International Conference of Case Based Reasoning ICCBR-2003, Trondheim Norway, June 23-26 (2003)
Watson, I.: Applying Case Based Reasoning: Techniques for Enterprise Systems. Morgan Kaufmann Publishers, San Francisco (1997)
Patterson, D., Anand, S.S., Dubitzky, W., Hughes, J.G.: Towards Automated Case Knowledge Discovery in the M2 Case-Based Reasoning System. Knowledge and Information Systems: An International Journal 1, 61–82 (1999)
Price, C.J., Pegler, I.S., Ratcliffe, M.B., McManus, A.: From troubleshooting to process design: closing the manufacturing loop. In: Leake, D.B., Plaza, E. (eds.) ICCBR 1997. LNCS, vol. 1266. Springer, Heidelberg (1997)
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Selvamani, B.R., Khemani, D. (2005). Decision Tree Induction with CBR. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590316_127
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DOI: https://doi.org/10.1007/11590316_127
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30506-4
Online ISBN: 978-3-540-32420-1
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