4SCKS, DS Y, CH S. Transferring case knowledge to adaptation knowledge: an approach for case-base maintenance [J]. Computational Intelligence, 2001,17 (2) : 295-314.
5Zhang Z, Qiang Y. Feature weight maintenance in case based using introspective learning [ J ]. Journal of Intelligent Information Systems, 2001,16(1) :95-11.
6Zhang Z, Qiang Y. Dynamic refinement of feature-weights in CBR using quantitative introspective learning[C]. Proceeding of the International Joint Conference in Artificial Intelligence, Francisco San, USA: Morgan Kaufmann, 1999,228-233.
7Yin S G,Qiang H, Yan Z, et al. Case-base maintenance based on representative selection for 1-NN algorithm[C]. In: Machine Learing and Cybernetics, 2003 International Conference on, 2003 : 2421-2425.
8Man XU, Jiang SHEN. Clinical Decision Support Model of Heart Disease Diagnosis Based on Bayesian Networks and Case Based Reasoning [C]. Proceedings of the 19th International Conference on Industrial Engineering and Engineering Management, IEEE, 2012 : 728-731.
9Jain A F, Marling C R. Case-based tool {or treatment of behavioral problems [C]. In: Southeastern Symposium on System Theory, 2001 Proceedings of the 33rd, 2001:337-341.
10Blake C L,Mertz C J. UCI Machine Learning Databases[ EB/ OL ]. http://mlearn, its. uci. edu/databases/heart- disease/, 2004.