{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T23:25:29Z","timestamp":1725492329164},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540405047"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/3-540-45065-3_1","type":"book-chapter","created":{"date-parts":[[2007,10,12]],"date-time":"2007-10-12T09:30:05Z","timestamp":1192181405000},"page":"1-6","source":"Crossref","is-referenced-by-count":17,"title":["Introspective Learning to Build Case-Based Reasoning (CBR) Knowledge Containers"],"prefix":"10.1007","author":[{"given":"Susan","family":"Craw","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"1_CR1","series-title":"Lect Notes Comput Sci","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1007\/BFb0056347","volume-title":"Advances in Case-Based Reasoning, Proceedings of the 4th European Workshop on Case Based Reasoning","author":"S. Craw","year":"1998","unstructured":"S. Craw, N. Wiratunga, and R. Rowe. Case-based design for tablet formulation. In Advances in Case-Based Reasoning, Proceedings of the 4th European Workshop on Case Based Reasoning, LNCS 1488, pages 358\u2013369, Dublin, Eire, 1998. Springer."},{"key":"1_CR2","first-page":"141","volume":"24","author":"P. Domingos","year":"1996","unstructured":"P. Domingos. Unifying instance-based and rule-based induction. Machine Learning, 24:141\u2013168, 1996.","journal-title":"Machine Learning"},{"key":"1_CR3","unstructured":"Y. Freund and R. Schapire. Experiments with a new boosting algorithm. In Machine Learning: Proceedings of the 13th International Conference, pages 148\u2013156, 1996."},{"key":"1_CR4","doi-asserted-by":"crossref","unstructured":"P. Gomes and C. Bento. Learning user preferences in case-based software reuse. In Advances in Case-Based Reasoning: Proceedings of the 5th European Workshop on Case Based Reasoning, LNAI 1898, pages 112\u2013123, Trento, Italy, 2000. Springer.","DOI":"10.1007\/3-540-44527-7_11"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"K. Hanney and M.T. Keane. The adaptation knowledge bottleneck: How to ease it by learning from cases. In Proceedings of the 2nd International Conference on Case Based Reasoning, LNAI 1226, pages 359\u2013370, Providence, RI, 1997. Springer.","DOI":"10.1007\/3-540-63233-6_506"},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"J. Jarmulak, S. Craw, and R. Rowe. Genetic algorithms to optimise CBR retrieval. In Proceedings of the 5th European Workshop on Case Based Reasoning, LNAI 1898, pages 136\u2013147, Trento, Italy, 2000. Springer.","DOI":"10.1007\/3-540-44527-7_13"},{"key":"1_CR7","unstructured":"J. Jarmulak, S. Craw, and R. Rowe. Using case-base data to learn adaptation knowledge for design. In Proceedings of the 17th International Joint Conference on Artificial Intelligence, pages 1011\u20131016, Seattle, WA, 2001. Morgan Kaufmann."},{"key":"1_CR8","unstructured":"D.B. Leake, A. Kinley, and D. Wilson. Acquiring case adaptation knowledge: A hybrid approach. In Proceedings of the 13th National Conference on Artificial Intelligence. AAAI Press, 1996."},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"G. Oatley, J. Tait, and J. MacIntyre. A case-based reasoning tool for vibration analysis. In Proceedings of the 18th SGES International Conference on KBS and Applied AI \u2014 Applications Stream, pages 132\u2013146, Cambridge, UK, 1998. Springer.","DOI":"10.1007\/978-1-4471-0575-6_10"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"M.M. Richter. Introduction. In Case-Based Reasoning Technology: From Foundations to Applications, LNAI 1400. Springer, 1998.","DOI":"10.1007\/3-540-69351-3_1"},{"issue":"2","key":"1_CR11","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1111\/0824-7935.00142","volume":"17","author":"B. Smyth","year":"2001","unstructured":"B. Smyth and E. McKenna. Competence models and the maintenance problem. Computational Intelligence, 17(2):235\u2013249, 2001.","journal-title":"Computational Intelligence"},{"key":"1_CR12","unstructured":"W. Wilke, I. Vollrath, K.-D. Althoff, and R. Bergmann. A framework for learning adaptation knowledge based on knowledge light approaches. In Proceedings of the 5th German Workshop on Case-Based Reasoning, 1997."},{"key":"1_CR13","unstructured":"D.R. Wilson and T.R. Martinez. Instance-based learning with genetically derived attribute weights. In Proceedings of the International Conference on Artificial Intelligence, Expert Systems and Neural Networks, pages 11\u201314, 1996."},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"N. Wiratunga, S. Craw, and R. Rowe. Learning to adapt for case-based design. In Proceedings of the 6th European Conference on Case-Based Reasoning, LNAI 2416, pages 423\u2013437, Aberdeen, UK, 2002. Springer.","DOI":"10.1007\/3-540-46119-1_31"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Data Mining in Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-45065-3_1.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,28]],"date-time":"2021-04-28T01:29:17Z","timestamp":1619573357000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-45065-3_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540405047"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/3-540-45065-3_1","relation":{},"subject":[]}}