Decision Tree Induction with CBR
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.
Unable to display preview. Download preview PDF.
- 1.Aha, D.W., Kibler, D., Albert, M.K.: Instance Based Learning Algorithms. Machine Learning 6, 37–66 (1991)Google Scholar
- 2.Salzberg, C.S.: A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features. Machine Learning 10, 57–78 (1993)Google Scholar
- 3.Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann Publishers, San Francisco (1993)Google Scholar
- 4.Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco (2001)Google Scholar
- 6.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)Google Scholar
- 7.Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Francisco (1993)Google Scholar
- 8.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)Google Scholar
- 9.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)Google Scholar
- 11.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)Google Scholar