{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:32:12Z","timestamp":1760488332374},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540679332"},{"type":"electronic","value":"9783540445272"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2000]]},"DOI":"10.1007\/3-540-44527-7_13","type":"book-chapter","created":{"date-parts":[[2007,8,12]],"date-time":"2007-08-12T05:20:26Z","timestamp":1186896026000},"page":"136-147","source":"Crossref","is-referenced-by-count":27,"title":["Genetic Algorithms to Optimise CBR Retrieval"],"prefix":"10.1007","author":[{"given":"Jacek","family":"Jarmulak","sequence":"first","affiliation":[]},{"given":"Susan","family":"Craw","sequence":"additional","affiliation":[]},{"given":"Ray","family":"Rowe","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2003,1,14]]},"reference":[{"key":"13_CR1","volume-title":"Feature Extraction, Construction and Selection: A Data Mining Perspective","author":"D. Aha","year":"1998","unstructured":"D. Aha. Feature weighting for lazy learning algorithms. In H. Liu and H. Motoda, (editors), Feature Extraction, Construction and Selection: A Data Mining Perspective. Norwell MA: Kluwer, 1998."},{"key":"13_CR2","first-page":"106","volume-title":"Proceedings of the AAAI-94 Workshop on Case-Based Reasoning","author":"D. W. Aha","year":"1994","unstructured":"D. W. Aha and R. L. Bankert. Feature selection for case-based classification of cloud types: An empirical comparison. In Proceedings of the AAAI-94 Workshop on Case-Based Reasoning, pages 106\u2013112. AAAI Press, Seattle, 1994."},{"key":"13_CR3","first-page":"38","volume-title":"Proceedings of the Ninth Conference on Artificial Intelligence","author":"H. Almuallim","year":"1992","unstructured":"H. Almuallim and T. G. Dietterich. Efficient algorithms for identifying relevant features. In Proceedings of the Ninth Conference on Artificial Intelligence, pages 38\u201345. Morgan Kaufman, Vancouver, 1992."},{"issue":"1\u20132","key":"13_CR4","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/S0004-3702(97)00063-5","volume":"97","author":"A. L. Blum","year":"1997","unstructured":"A. L. Blum and P. Langley. Selection of relevant features and examples in machine learning. Artificial Intelligence, 97(1\u20132):245\u2013271, 1997.","journal-title":"Artificial Intelligence"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"C. Cardie. Using decision trees to improve case-based learning. In Proceedings of the 10th ICML, pages 25\u201332. Morgan Kaufmann, 1993.","DOI":"10.1016\/B978-1-55860-307-3.50010-1"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"S. Craw, N. Wiratunga, and R. Rowe. Case-based design for tablet formulation. In Proceedings of the Fourth European Workshop on Case-Based Reasoning, pages 358\u2013369, Dublin, Eire, 1998. Springer.","DOI":"10.1007\/BFb0056347"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"P. Cunningham and A. Bonzano. Knowledge engineering issues in developing a case-based reasoning application. Knowledge-Based Systems, 12, 1999.","DOI":"10.1016\/S0950-7051(99)00042-8"},{"key":"13_CR8","unstructured":"J. Jarmulak and S. Craw. Genetic algorithms for feature selection and weighting. In S. S. Anand, A. Aamodt, and D. W. Aha, (editors), IJCAI-99 Workshop on Automating the Construction of Case-Based Reasoners, pages 28\u201333, 1999."},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"G. John, R. Kohavi, and K. Pfleger. Irrelevant features and the subset selection problem. In W. W. Cohen and H. Hirsh, (editors), Machine Learning: Proceedings of the 11th International Conference, pages 121\u2013129. Morgan Kaufmann, 1994.","DOI":"10.1016\/B978-1-55860-335-6.50023-4"},{"key":"13_CR10","unstructured":"J. D. Kelly and L. Davis. A hybrid genetic algorithm for classification. In Proceedings of the 12th IJCAI, pages 645\u2013650, Sidney, Australia, 1991."},{"key":"13_CR11","unstructured":"R. Kohavi, P. Langley, and Y. Yun. The utility of feature weighting in nearest-neighbor algorithms. In Proceedings of the European Conference on Machine Learning (ECML-97), 1997."},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"I. Kononenko. Estimating attributes: Analysis and extenstions of relief. In Proceedings of the European Conference on Machine Learning (ECML-94), Catania, Italy, 1994.","DOI":"10.1007\/3-540-57868-4_57"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"G. Oatley, J. Tait, and J. MacIntyre. A case-based reasoning tool for vibration analysis. In R. Milne, A. Macintosh, and M. Bramer, (editors), Applications and Innovations in Expert Systems VI: Proceedings of the BCS Expert Systems\u2019 98 Conference, pages 132\u2013146, Cambridge, December1998, 1998. Springer-Verlag.","DOI":"10.1007\/978-1-4471-0575-6_10"},{"key":"13_CR14","unstructured":"M. M. Richter. Introduction. In M. Lenz, B. Bartsch-Sp\u00f6rl, H.-D. Burkhard, and S. Wess, (editors), Case-Based Reasoning Technology: From Foundations to Applications, Lecture Notes in Artificial Intelligence 1400. Springer Verlag, 1998."},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"D. B. Skalak. Prototype and feature selection by sampling and random mutation hill-climbing algorithms. In Proceedings of the Eleventh International Conference on Machine Learning, pages 293\u2013301, New Brunswick, New Jersey, 1994.","DOI":"10.1016\/B978-1-55860-335-6.50043-X"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"D. Wettchereck and D. W. Aha. Weighting features. In Proceedings of the 1st International Conference on CBR (ICCBR-95), pages 347\u2013358, 1995.","DOI":"10.1007\/3-540-60598-3_31"},{"key":"13_CR17","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 (AIE\u201996), pages 11\u201314, 1996."},{"key":"13_CR18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1613\/jair.346","volume":"6","author":"D. R. Wilson","year":"1997","unstructured":"D. R. Wilson and T. R. Martinez. Improved heterogenous distance functions. Journal of Artificial Intelligence Research, 6:1\u201334, 1997.","journal-title":"Journal of Artificial Intelligence Research"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"J. Yang and V. Honavar. Feature subset selection using a genetic algorithm. In Motoda and Liu, (editors), Feature Extraction, Construction and Selection-A Data Mining Perspective. Kluwer, 1998.","DOI":"10.1007\/978-1-4615-5725-8_8"}],"container-title":["Lecture Notes in Computer Science","Advances in Case-Based Reasoning"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44527-7_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T23:44:40Z","timestamp":1556754280000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44527-7_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000]]},"ISBN":["9783540679332","9783540445272"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/3-540-44527-7_13","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2000]]}}}