{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T11:34:15Z","timestamp":1742384055118},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540425342"},{"type":"electronic","value":"9783540447948"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2001]]},"DOI":"10.1007\/3-540-44794-6_15","type":"book-chapter","created":{"date-parts":[[2007,7,16]],"date-time":"2007-07-16T12:37:34Z","timestamp":1184589454000},"page":"180-191","source":"Crossref","is-referenced-by-count":12,"title":["Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection"],"prefix":"10.1007","author":[{"given":"Melanie","family":"Hilario","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandros","family":"Kalousis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2001,8,28]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"A. Agnar and E. Plaza. Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications, 7(1), 1994.","DOI":"10.3233\/AIC-1994-7104"},{"key":"15_CR2","unstructured":"H. Blockeel. Cumulativity as inductive bias. In Data Mining, Decision Support, Meta-Learning and ILP: Forum for Practical Problem Presentation and Prospective Solutions, pages 61\u201370, Lyon, France, July 2000."},{"key":"15_CR3","doi-asserted-by":"crossref","unstructured":"W. W. Cohen. Fast effective rule induction. In A. Prieditis and S. Russell, editors, Proc. of the 11th International Conference on Machine Learning, pages 115\u2013123, Tahoe City, CA, 1995. Morgan Kaufmann.","DOI":"10.1016\/B978-1-55860-377-6.50023-2"},{"key":"15_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S1088-467X(99)00002-5","volume":"3","author":"J. Gama","year":"1999","unstructured":"J. Gama and P. Brazdil. Linear tree. Intelligent Data Analysis, 3:1\u201322, 1999.","journal-title":"Intelligent Data Analysis"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"M. Hilario and A. Kalousis. Quantifying the resilience of inductive classification algorithms. In Principles of Data Mining and Knowledge Discovery. Proceedings of the 4th European Conference, pages 106\u2013115, Lyon, France, 2000. Springer-Verlag.","DOI":"10.1007\/3-540-45372-5_11"},{"key":"15_CR6","unstructured":"A. Kalousis and M. Hilario. Supervised knowledge discovery from incomplete data. In International Conference on Data Mining, Cambridge, UK, 2000."},{"key":"15_CR7","unstructured":"R. Kohavi, G. John, R. Long, D. Manley, and K. Pfleger. MLC++: A machine learning library in C++. Technical report, CSD, Stanford University, August 1994. An abridged version of this report appears in AI\u201994: Tools in AI."},{"key":"15_CR8","unstructured":"R. Kohavi and D. Wolpert. Bias plus variance decomposition for zero-one loss functions. In L. Saitta, editor, Proc. of the 13th International Conference on Machine Learning, pages 275\u2013283, Bari (Italy), 1996. Morgan Kaufmann."},{"key":"15_CR9","volume-title":"Model Selection","author":"H. Linhart","year":"1986","unstructured":"H. Linhart and W. Zucchini. Model Selection. J. Wiley, NY, 1986."},{"key":"15_CR10","unstructured":"R. J. Little and D. B. Rubin. Statistical Analysis withMissing Data. Wiley, 1987."},{"key":"15_CR11","unstructured":"MetaL Consortium. Project Homepage. http:\/\/www.metal-kdd.org\/ ."},{"key":"15_CR12","unstructured":"D. Michie, D. J. Spiegelhalter, and C. C. Taylor, editors. Machine learning, neural and statistical classification. Ellis-Horwood, 1994."},{"key":"15_CR13","unstructured":"Bernhard Pfahringer, Hilan Bensusan, and Christophe Giraud-Carrier. Metalearning by landmarking various learning algorithms. In Proc. Seventeenth International Conference on Machine Learning, ICML\u20192000, pages 743\u2013750, San Francisco, California, June 2000. Morgan Kaufmann."},{"key":"15_CR14","unstructured":"J. R. Quinlan. Comparing connectionist and symbolic learning methods. In S. J. Hanson, G. A. Drastal, and R. L. Rivest, editors, Computational Learning Theory and Natural Learning Systems, volume I, chapter 15, pages 446\u2013456. MIT Press, 1994."},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"B.D. Ripley. Pattern Recognition and Neural Networks. Cambridge U. Press, 1996.","DOI":"10.1017\/CBO9780511812651"},{"key":"15_CR16","doi-asserted-by":"crossref","unstructured":"L. Todorowski. Experiments in meta-level learning with ILP. In International Workshop on Inductive Logic Programming, Bled, Slovenia, 1999. Springer-Verlag.","DOI":"10.1007\/978-3-540-48247-5_11"},{"issue":"7","key":"15_CR17","first-page":"1381","volume":"8","author":"D. Wolpert","year":"1996","unstructured":"D. Wolpert. The lack of a priori distinctions between learning algorithms. Neural Computation, 8(7):1381\u20131390, 1996.","journal-title":"Neural Computation"}],"container-title":["Lecture Notes in Computer Science","Principles of Data Mining and Knowledge Discovery"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44794-6_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,24]],"date-time":"2020-04-24T21:52:20Z","timestamp":1587765140000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44794-6_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001]]},"ISBN":["9783540425342","9783540447948"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/3-540-44794-6_15","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2001]]}}}