{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T09:24:34Z","timestamp":1648891474563},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"1-4","license":[{"start":{"date-parts":[[2008,12,1]],"date-time":"2008-12-01T00:00:00Z","timestamp":1228089600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2008,12]]},"DOI":"10.1007\/s10462-009-9116-7","type":"journal-article","created":{"date-parts":[[2009,9,28]],"date-time":"2009-09-28T11:26:37Z","timestamp":1254137197000},"page":"53-66","source":"Crossref","is-referenced-by-count":3,"title":["Nearest prototype classification of noisy data"],"prefix":"10.1007","volume":"30","author":[{"given":"Fernando","family":"Fern\u00e1ndez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro","family":"Isasi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2009,9,29]]},"reference":[{"key":"9116_CR1","first-page":"37","volume":"6","author":"D Aha","year":"1991","unstructured":"Aha D, Kibler K (1991) Instance-based learning algorithms. Mach Learn 6: 37\u201366","journal-title":"Mach Learn"},{"key":"9116_CR2","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1023\/A:1009634824627","volume":"11","author":"S Bermejo","year":"2000","unstructured":"Bermejo S, Cabestany J (2000) A batch learning algorithm vector quantization algorithm for nearest neighbour classification. Neural Process Lett 11: 173\u2013184","journal-title":"Neural Process Lett"},{"key":"9116_CR3","unstructured":"Blake CL, Merz CJ (1998) UCI repository of machine learning databases. http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"9116_CR4","volume-title":"Classification and regression trees","author":"L Brieman","year":"1984","unstructured":"Brieman L, Friedman JH, Olshen RA, Stone CH (1984) Classification and regression trees. Wadsworth, London"},{"key":"9116_CR5","first-page":"57","volume":"10","author":"S Cost","year":"1993","unstructured":"Cost S, Salzberg S (1993) A weighted nearest neighbour algorithm for learning with symbolic features. Mach Learn 10: 57\u201378","journal-title":"Mach Learn"},{"key":"9116_CR6","doi-asserted-by":"crossref","unstructured":"Creecy RH, Masand BM, Smith SJ, Waltz DL (1992) Trading mips and memory for knowledge engineering. Communications of the ACM 35","DOI":"10.1145\/135226.135228"},{"key":"9116_CR7","volume-title":"Pattern classification and scene analysis","author":"RO Duda","year":"1973","unstructured":"Duda RO, Hart PE (1973) Pattern classification and scene analysis. Wiley, New York"},{"issue":"3","key":"9116_CR8","first-page":"205","volume":"21","author":"F Fern\u00e1ndez","year":"2002","unstructured":"Fern\u00e1ndez F, Isasi P (2002) Automatic finding of good classifiers following a biologically inspired metaphor. Comput Inform 21(3): 205\u2013220","journal-title":"Comput Inform"},{"issue":"4","key":"9116_CR9","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1023\/B:HEUR.0000034715.70386.5b","volume":"10","author":"F Fern\u00e1ndez","year":"2004","unstructured":"Fern\u00e1ndez F, Isasi P (2004) Evolutionary design of nearest prototype classifiers. J Heuristics 10(4): 431\u2013454","journal-title":"J Heuristics"},{"key":"9116_CR10","unstructured":"Frank E, Witten IH (1998) Generating accurate rule sets without global optimization. In: Proceedings of the fifteenth international conference on machine learning"},{"issue":"9","key":"9116_CR11","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.1016\/0893-6080(94)90091-4","volume":"7","author":"B Fritzke","year":"1994","unstructured":"Fritzke B (1994) Growing cell structures -a self-organizing network for unsupervised and supervised learning. Neural Networks 7(9): 1441\u20131460","journal-title":"Neural Networks"},{"key":"9116_CR12","unstructured":"John GH, Langley P (1992) Estimating continuous distributions in Bayesian classifiers. In: Proceedings of the Eleventh conference on uncertainty in artificial intelligence, pp 338\u2013345"},{"key":"9116_CR13","doi-asserted-by":"crossref","unstructured":"Kira K, Rendell LA (1992) A practical approach to feature selection. In: Proceedings of the Ninth international conference on machine learning. Morgan Kaufmann, pp 249\u2013256","DOI":"10.1016\/B978-1-55860-247-2.50037-1"},{"key":"9116_CR14","unstructured":"Kohonen T (1984) Self-organization and associative memory, 3rd edn. Springer, Berlin Heidelberg 1989"},{"issue":"1","key":"9116_CR15","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/5326.661099","volume":"28","author":"LI Kuncheva","year":"1998","unstructured":"Kuncheva LI, Bezdek JC (1998) Nearest prototype classification: clustering, genetic algorithms, or random search. IEEE Trans Syst Man Cyber 28(1): 160\u2013164","journal-title":"IEEE Trans Syst Man Cyber"},{"key":"9116_CR16","doi-asserted-by":"crossref","unstructured":"Lloyd SP (1982) Least squares quantization in PCM. In: IEEE transactions on information theory, no. 28 in IT, pp 127\u2013135","DOI":"10.1109\/TIT.1982.1056489"},{"issue":"4","key":"9116_CR17","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1109\/72.238310","volume":"4","author":"NR Pal","year":"1993","unstructured":"Pal NR, Bezdek JC, Tsao EC-K (1993) Generalized clustering networks and kohonen\u2019s self-organizing scheme. IEEE Trans Neural Networks 4(4): 549\u2013557","journal-title":"IEEE Trans Neural Networks"},{"key":"9116_CR18","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1016\/S0893-6080(01)00104-6","volume":"14","author":"G Patan\u00e8","year":"2001","unstructured":"Patan\u00e8 G, Russo M (2001) The enhanced LBG algorithm. Neural Networks 14:1219\u20131237","journal-title":"Neural Networks"},{"key":"9116_CR19","volume-title":"C4.5: programs for machine learning","author":"JR Quinlan","year":"1993","unstructured":"Quinlan JR (1993) C4.5: programs for machine learning. Morgan Kaufmann, San Mateo, CA"},{"issue":"2","key":"9116_CR20","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1109\/TNN.2003.809407","volume":"14","author":"S Seo","year":"2003","unstructured":"Seo S, Bode M, Obermayer K (2003) Soft nearest prototype classification. IEEE Trans Neural Networks 14(2): 390\u2013398","journal-title":"IEEE Trans Neural Networks"},{"key":"9116_CR21","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","author":"CE Shannon","year":"1948","unstructured":"Shannon CE (1948) A mathematical theory of communication. Bell Syst Technol J 27: 379\u2013423","journal-title":"Bell Syst Technol J"},{"key":"9116_CR22","first-page":"1213","volume":"29","author":"C Stanfill","year":"1986","unstructured":"Stanfill C, Waltz D (1986) Toward memory-based reasoning. Commun Assoc Comput Mach 29: 1213\u20131228","journal-title":"Commun Assoc Comput Mach"},{"key":"9116_CR23","unstructured":"Wettschereck D (1995) A description of the mutual information approach and the variable similarity metric. Tech. Rep. 944, German National Research Center for Computer Science, Artificial intelligence research division, Sankt Augustin, Germany"},{"key":"9116_CR24","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1006593614256","volume":"11","author":"D Wettschereck","year":"1997","unstructured":"Wettschereck D, Aha D, Mohri T (1997) A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artif Intell Rev 11: 273\u2013314","journal-title":"Artif Intell Rev"},{"key":"9116_CR25","volume-title":"Data mining. Practical machine learning tools and techniques with Java implementations","author":"IH Witten","year":"2000","unstructured":"Witten IH, Frank E (2000) Data mining. Practical machine learning tools and techniques with Java implementations. Morgan Kaufmann, London"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-009-9116-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10462-009-9116-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-009-9116-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T13:45:07Z","timestamp":1559137507000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10462-009-9116-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,12]]},"references-count":25,"journal-issue":{"issue":"1-4","published-print":{"date-parts":[[2008,12]]}},"alternative-id":["9116"],"URL":"https:\/\/doi.org\/10.1007\/s10462-009-9116-7","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"value":"0269-2821","type":"print"},{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,12]]}}}