Case-base maintenance by conceptual clustering of graphs

Engineering Applications of Artificial Intelligence

Volumn 19, Issue 4, 2006, Pages 381-393

  Perner, Petra ^a  

^a Institute of Computer Vision and Applied Computer Sciences   (Germany)

Author keywords

Case based reasoning; Conceptual clustering; Graph clustering

Indexed keywords

CASE-BASE REASONING; CONCEPTUAL CLUSTERING; GRAPH CLUSTERING;

ALGORITHMS; APPROXIMATION THEORY; COMPUTER VISION; GRAPH THEORY; HIERARCHICAL SYSTEMS; SOFTWARE PROTOTYPING;

KNOWLEDGE ACQUISITION;

EID: 33646065322     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2006.01.014     Document Type: Article

References (29)

1. Bergmann R., and Stahl A. Similarity measures for object-oriented case representations. In: Smith B., and Cunningham P. (Eds). Proceedings of the Advances in Case-Based Reasoning, LNAI 1488 (1998), Springer, New York 25-36
2. Bischof W., and Caelli T. Learning spatio-temporal relational structures. Applied Artificial Intelligence 15 8 (2000) 707-722
3. Bonzano A., and Cunningham P. Learning feature weights for CBR: global versus Local. Advances in Artificial Intelligence 97 (1997) 417-426
4. Börner K., Pippig E., Tammer E.-Ch., and Coulon C.H. Structural similarity and adaptation. In: Smith I., and Faltings B. (Eds). Advances in Case-Based Reasoning (1996), Spinger, New York 58-75
5. Bunke H., and Messmer B. Similarity measures for structured representations. In: Wess S., Althoff K.-D., and Richter M.M. (Eds). Topics in Case-Based Reasoning (1994), Springer, New York 106-118
6. Burke E.K., MacCarthy B., Petrovic S., and Qu R. Case-based reasoning in course timetabling: an attributed graph approach. In: Aha D.W., and Watson I. (Eds). Case-Based Reasoning Research and Development, LNAI 2080π (2001), Springer, New York 90-103
7. Craw S., Jarmulak J., and Rowe R. Maintaining retrieval knowledge in a case-based reasoning system. Computational Intelligence 17 2 (2001) 346-363
8. Fisher D.H. Knowledge acquisition via incremental clustering. Machine Learning 2 (1987) 139-172
9. Gebhardt F., Voss A., Gräther W., and Schmidt-Belz B. Reasoning with Complex Cases (1997), Kluwer, Dordrecht
10. Gennari J.H., Langley P., and Fisher D. Models of incremental concept formation. Artificial Intelligence 40 (1989) 11-61
11. Grimnes M., and Aamodt A. A two layer case-based reasoning architecture for medical image understanding. In: Smith I., and Faltings B. (Eds). Advances in Case-Based Reasoning, LNAI 1168 (1996), Springer, New York 164-178
12. Leake D.B., and Wilson D.C. Categorizing case-based maintenance: dimensions and directions. In: Smyth B., and Cunningham P. (Eds). Advances in Case-Based Reasoning, LNAI 1488 (1998), Springer, New York 196-207
13. McSherry D. Intelligent case-authoring support in casemaker-2. In: Blanzieri E., and Portinale L. (Eds). Advance in Case-Based Reasoning, LNAI 1898 (2000), Springer, New York 198-209
14. McSherry D. Precision and recall in interactive case-based reasoning. In: Aha D.W., and Watson I. (Eds). Case-Based Reasoning Research and Development, LNAI 2080 (2001), Springer, New York 392-406
15. Michalski R.S. A theory and methodology of inductive learning. In: Michalski R.S., Carbonell J.G., and Mitchell T.M. (Eds). Machine Learning: Artificial Intelligence Approach (1983), Morgan Kaufmann, Los Altos, CA
16. Nebel B. Reasoning and Revision in Hybrid Representation Systems (1990), Springer, New York
17. Perner, P., 1993. Case-based reasoning for image interpretation in non-destructive testing. In: Richter, M. (Ed.), First European Workshop on Case-Based Reasoning, Otzenhausen, November 1993. Proceedings of SFB 314, vol. II, University of Kaiserslautern, pp. 403-410.
18. Perner, P., 1996. Ultrasonic image interpretation, In: IAPR Workshop on Machine Vision and Applications MVA'96, Tokyo, Japan, pp. 552-554.
19. Perner P. Different learning strategies in a case-based reasoning system for image interpretation. In: Smith B., and Cunningham P. (Eds). Advances in Case-Based Reasoning, LNAI 1488 (1998), Springer, New York 251-261
20. Perner P. Using CBR learning for the low-level and high-level unit of a image interpretation system. In: Singh S. (Ed). Advances in Pattern Recognition (1998), Springer, New York 45-54
21. Perner P., and Paetzold W. An incremental learning system for interpretation of images. In: Dori D., and Bruckstein A. (Eds). Shape, Structure, and Pattern Recognition (1995), World Scientific Publishing Co., Singapore 311-323
22. Portinale L., Torasso P., and Tavano P. Speed-up, quality and competence in multi-modal case-based reasoning. In: Althoff K.-D., Bergmann R., and Branting L.K. (Eds). Case-Based Reasoning Research and Development, LNAI 1650 (1999), Springer, New York 303-317
23. Ricci F., and Senter L. Structured cases, trees and efficient retrieval. In: Smyth B., and Cunningham P. (Eds). Proceedings of the Advances in Case-Based Reasoning (1998), Springer, New York 88-99
24. Richter M.M. Introduction. In: Lenz M., Bartsch-Spörl B., Burkhardt H.-D., and Wess S. (Eds). Case Based Reasoning Technology: From Foundations to Applications, LNAI 1400 (1998), Springer, Berlin
25. Smyth B., and McKenna E. Modelling the competence of case-bases. In: Smyth B., and Cunningham P. (Eds). Advances in Case-Based Reasoning, LNAI 1488 (1998), Springer, New York 208-220
26. Surma J., and Tyburcy J. A study of competence-preserving case replacing strategies in case-based reasoning. In: Smyth B., and Cunningham P. (Eds). Advances in Case-Based Reasoning, LNAI 1488 (1998), Springer, New York 233-238
27. Veloso, M.M., 1997. Merge strategies for multiple case plan replay. In: Proceedings of ICCBR-97.
28. Wess S., Althoff K.-D., and Derwand G. Using k-d trees to improve the retrieval step in case-based reasoning. In: Wess S., Althoff K.-D., and Richter M.M. (Eds). Topics in Case-based Reasoning (1993), Springer, New York 167-182
29. Wettscherek D., Aha D.W., and Mohri T. A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artificial Intelligence Review 11 1-5 (1997) 273-314