Automatic case acquisition in case-based system using data mining

Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology

Volumn 36, Issue 1, 2003, Pages 82-86

  Ni, Zhi Wei ^a,b   Cai, Qing Sheng ^a   Jia, Rui Yu ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b ANHUI UNIVERSITY   (China)

Author keywords

Case base; Case based reasoning; Data mining; Database

Indexed keywords

ALGORITHMS; DATA MINING; DATABASE SYSTEMS; EXPERT SYSTEMS; KNOWLEDGE BASED SYSTEMS;

CASE BASED REASONING; INDEXING MODEL;

ARTIFICIAL INTELLIGENCE;

EID: 0041902152     PISSN: 04932137     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Yahia M E. Rough neural expert systems [J]. Expert Systems with Applications, 2000, 18: 87-99.
2. Mejia-Lavalle M, Rodriguez-Ortiz G. Obtaining expert system rules using data mining tools from a power generation database [J]. Expert Systems with Applications, 1998, 14: 37-42.
3. Hiroshi Tsukimoto. Extracting rules from neural networks [J]. IEEE Transactions on Neural Networks, 2000, 11(2); 377-389.
4. Jagielska I, Matthews C, Whitfort T. An investigation into the application of neural networks, fuzzy logic, genetic algorithms, and rough sets to automated knowledge acquisition for classification problems [J]. Neural Computing, 1999, 24: 37-54.
5. Kraslawski A, Pedrycz W, Nystrom L. Fuzzy neural network as instance generator for case-based reasoning systems [J]. Neural Computing and Applications, 1999, 8: 106-113.
6. Mario Lenz. Case-Based Reasoning: From Foundations to Applications [M]. Berlin: Springer, 1998.
7. Daivd Leake. Learning to integrate multiple knowledge sources for case-based reasoning [A]. Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence [C]. Nagoya, Japan, 1997: 246-251.
8. Haney K, Keane M. Learning adaptation rules from a case base [A]. Proceedings of the Third European Workshop on Case-Based Research [C].Lausanne: 1996. 178-192.
9. Skalak D. Prototype and features selection by sampling and random mutation hill-climbing algorithm [A]. Proceedings 11th Int Conf Machine Learning [C] New Brunswiek, Morgan, 1994. 293-301..
10. Azuaje F. Discovering relevance knowledge in data: a growing well structure approach [J]. IEEE Transactions on Systems, Man, and Cybernetics, 2000, 30(3): 448-460.
11. Stephen Flinter, Mark T Keane. On the automatic generation of case libraries by chunking chess games [A]. Proceedings of the First International Conference on Case-Based Reasoning [C]. Springer Verlag, 1995: 421-430.
12. Anand S S, Patterson D, Hughes J G et al. Discovering case knowledge using data mining [A]. The Second Pacific-Asia Conference on KDD[C]. Springer, Berlin, 1998: 25-35.
13. Dai Haihong. Discovery of case for case-based reasoning in engineering [A]. Proceedings of the Asia-Pacific Software Engineering Conference and International Computer Science Conference [C]. Beijing, 1997: 89-96.
14. David McSherry. Demand-driven discovery of adaptation knowledge [A]. International Joint Conference on Artificial Intelligence [C]. Stockholm, Sweden, 1999: 222-227.
15. Quinlan J R. C4.5: Programs for Machine Learning [M]. Morgan Kaufman, 1992.