Reexamination of CBR hypothesis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6176 LNAI, Issue , 2010, Pages 332-345

  Zhou, Xi Feng ^a,b,c,d   Shi, Ze Lin ^a,b,c   Zhao, Huai Ci ^a,b,c  

^a SHENYANG INSTITUTE OF AUTOMATION   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c Key Laboratory of Image Understanding and Computer Vision   (China)

^d UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CASE BASE MAINTENANCE; CASE RETRIEVAL; CBR; CLASSIFICATION SYSTEM; COMPLEXITY MEASURES; DATA SETS; EMPIRICAL EVALUATIONS; PRE-DEFINED CLASS; PROBLEM SPACE; RANK CORRELATION; SIMILAR CASE; SOLUTION SPACE; TRANSPORTATION SAFETY BOARDS;

ALIGNMENT;

CASE BASED REASONING;

EID: 77954994822     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14274-1_25     Document Type: Conference Paper

References (15)

1. Leake, D.B.: CBR in context: The present and future. In: Leake, D.B. (ed.) Case based reasoning: Experiences, lessons, and future directions, pp. 3-30. MIT, Cambridge (1996)
2. Leake, D.B., Wilson, D.C.: When Experience Is Wrong: Examining CBR for Changing Tasks and Environments. In: Althoff, K.-D., Bergmann, R., Branting, L.K. (eds.) ICCBR 1999. LNCS (LNAI), vol. 1650, pp. 218-232. Springer, Heidelberg (1999)
3. Lamontagne, L.: Textual CBR Authoring using Case Cohesion. In: TCBR 2006 - Reasoning with Text, Proceedings of the ECCBR 2006 Workshops, pp. 33-43 (2006)
4. Massie, S., Wiratunga, N., Craw, S., Donati, A., Vicari, E.: From Anomaly Reports to Cases. In: Weber, R.O., Richter, M.M. (eds.) ICCBR 2007. LNCS (LNAI), vol. 4626, pp. 359-373. Springer, Heidelberg (2007)
5. Chakraborti, S., Beresi, U., Wiratunga, N., Massie, S., Lothian, R., Watt, S.: A Simple Approach towards Visualizing and Evaluating Complexity of Textual Case Bases. In: TCBR 2007 - Beyond Retrieval, Proc. of the ICCBR 2007 Workshops (2007)
6. Hullermeier, E.: Credible case-based inference using similarity profiles. IEEE Transactions on Knowledge and Data Engineering 19(6), 847-858 (2007)
7. Massie, S., Craw, S., Wiratunga, N.: When Similar Problems Don't Have Similar Solutions. In: Weber, R.O., Richter, M.M. (eds.) ICCBR 2007. LNCS (LNAI), vol. 4626, pp. 92-106. Springer, Heidelberg (2007)
8. Raghunandan, M.A., Wiratunga, N., Chakraborti, S., Massie, S., Khemani, D.: Evaluation Measures for TCBR Systems. In: Althoff, K.-D., Bergmann, R., Minor, M., Hanft, A. (eds.) ECCBR 2008. LNCS (LNAI), vol. 5239, pp. 444-458. Springer, Heidelberg (2008)
9. Raghunandan, M.A., Chakraborti, S., Khemani, D.: Robust Measures of Complexity in TCBR. In: McGinty, L., Wilson, D.C. (eds.) ICCBR 2009. LNCS (LNAI), vol. 5650, pp. 270-284. Springer, Heidelberg (2009)
10. Kolodner, J.L.: Case-Based Reasoning. Morgan Kaufmann, San Francisco (1993)
11. Faltings, B.: Probabilistic Indexing for Case-Based Prediction. In: Leake, D.B., Plaza, E. (eds.) ICCBR 1997. LNCS, vol. 1266, pp. 611-622. Springer, Heidelberg (1997)
12. Fagin, R., Kumar, R., Mahdian, M., Sivakumar, D., Vee, E.: Comparing Partial Rankings. SIAM J. Discrete Math. 17(3), 628-648 (2006)
13. JCOLIBRI CBR Framework, Group for Artificial Intelligence Applications, Complutense University of Madrid, http://gaia.fdi.ucm.es/projects/jcolibri/ jcolibri2/index.html
14. Recio-Gacia, J.A., Diaz-Agudo, B., Gonzalez-Calero, P.A.: Textual CBR in jCOLIBRI: From Retrieval to Reuse. In: TCBR 2007 - Beyond Retrieval, Proc. of the ICCBR 2007 TCBR Workshops (2007)
15. Delany, S.J., Bridge, D.G.: Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering. In: Weber, R.O., Richter, M.M. (eds.) ICCBR 2007. LNCS (LNAI), vol. 4626, pp. 314-328. Springer, Heidelberg (2007)