{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T21:57:43Z","timestamp":1725487063871},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540335207"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/3-540-33521-8_18","type":"book-chapter","created":{"date-parts":[[2007,7,2]],"date-time":"2007-07-02T23:10:01Z","timestamp":1183417801000},"page":"183-187","source":"Crossref","is-referenced-by-count":0,"title":["Attribute Number Reduction Process and Nearest Neighbor Methods in Machine Learning"],"prefix":"10.1007","author":[{"given":"Aleksander","family":"Soko\u0142owski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"G\u0142adysz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"130","DOI":"10.3322\/canjclin.35.3.130","volume":"35","author":"R. J. Friedman","year":"1985","unstructured":"1. R. J. Friedman, D. S. Rigel, A. W. Kopf, Early detection of malignant melanoma: the role of physician examination and self-examination of the skin, CA Cancer J. Clin., 35 (1985) 130\u2013151.","journal-title":"CA Cancer J. Clin."},{"key":"18_CR2","volume-title":"Color Atlas of Dermatology","author":"J. W. Stolz","year":"1993","unstructured":"2. J. W. Stolz, O. Braun-Falco, P. Bilek, A. B. Landthaler, A. B. Cogneta, Color Atlas of Dermatology, Blackwell Science Inc., Cambridge, MA (1993)."},{"key":"18_CR3","first-page":"3","volume-title":"Handbook of Application and Advances of the Rough Sets Theory","author":"J. W. Grzymala-Busse","year":"1992","unstructured":"3. J. W. Grzymala-Busse, LERS A system for learning from examples based on rough sets, in Intelligent Decision Support. Handbook of Application and Advances of the Rough Sets Theory. R. Slowinski (ed.), Kluwer Academic Publishers, Dordrecht, Boston, London (1992) 3\u201318."},{"key":"18_CR4","doi-asserted-by":"crossref","first-page":"27","DOI":"10.3233\/FI-1997-3113","volume":"31","author":"J. W. Grzymala-Busse","year":"1997","unstructured":"4. J. W. Grzymala-Busse, A new version of the rule induction system LERS, Fundamenta Informaticae 31 (1997) 27\u201339.","journal-title":"Fundamenta Informaticae"},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"5. A. Alvarez, F.M. Brown, J. W. Grzymala-Busse, and Z. S. Hippe, Optimization of the ABCD formula used for melanoma diagnosis, Proc. of the II PWM2003, Int. Conf. On Intelligent Information Processing and WEB Mining Systems, Zakopane, Poland, June 2\u20135 (2003) 233\u2013240.","DOI":"10.1007\/978-3-540-36562-4_24"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"6. J. P. Grzymala-Busse, J. W. Grzymala-Busse, and Z. S. Hippe, Melanoma prediction using data mining system LERS, Proceedings of the 25th Anniversary Annual International Computer Software and Applications Conference COMPSAC 2001, Chicago, IL, October 8\u201312 (2001) 615\u2013620.","DOI":"10.1109\/CMPSAC.2001.960676"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"7. J. W. Grzymala-Busse, and Z. S. Hippe, Postprocessing of rule sets induced from a melanoma data sets, Proc. of the COMPSAC 2002, 26th Annual International Conference on Computer Software and Applications, Oxford, England, August 26\u201329 (2002) 1146\u20131151.","DOI":"10.1109\/CMPSAC.2002.1045166"},{"key":"18_CR8","first-page":"538","volume-title":"Proceedings of the RSCTC 2002, Third International Conference on Rough Sets and Current Trends In Computing","author":"J. W. Grzymala-Busse","year":"October 14\u201316 (2002)","unstructured":"8. J. W. Grzymala-Busse, and Z. S. Hippe, A search for the best data mining method to predict melanoma, Proceedings of the RSCTC 2002, Third International Conference on Rough Sets and Current Trends In Computing, Malvern, PA, October 14\u201316 (2002) Springer-Verlag, 538\u2013545."},{"key":"18_CR9","first-page":"657","volume":"8","author":"R. Rohwer","year":"1996","unstructured":"9. R. Rohwer and M. Morciniec, A theoretical and experimental account of n-tuple classifier performance, Neural Computation 8 (1996) 657\u2013670.","journal-title":"Neural Computation"},{"key":"18_CR10","unstructured":"10. W. Duch, Neural distance methods, Proc. 3-rd Conf. on Neural Networks and Their Applications, Kule, Poland, Oct. 14\u201318 (1997)."},{"key":"18_CR11","unstructured":"11. J. H. Friedman, Flexible metric nearest neighbor classification, Technical Report, Dept. of Statistics, Stanford University (1994)."},{"key":"18_CR12","volume-title":"Image recognition","author":"R. Tadeusiewicz","year":"1991","unstructured":"12. R. Tadeusiewicz, M. Flasi\u0144ski, Image recognition, PWN, Warszawa, (1991) (in polish)."},{"volume-title":"Handbook of statistics 2: classification, pattern recognition and reduction of dimensionality","year":"1982","key":"18_CR13","unstructured":"13. P. R. Krishnaiah, L. N. Kanal (eds), Handbook of statistics 2: classification, pattern recognition and reduction of dimensionality, North Holland, Amsterdam, (1982)."}],"container-title":["Advances in Soft Computing","Intelligent Information Processing and Web Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-33521-8_18.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T15:55:57Z","timestamp":1605628557000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-33521-8_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540335207"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-33521-8_18","relation":{},"subject":[]}}