{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T16:43:52Z","timestamp":1725468232573},"publisher-location":"Boston","reference-count":7,"publisher":"Kluwer Academic Publishers","isbn-type":[{"type":"print","value":"0387228284"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/0-387-22829-2_52","type":"book-chapter","created":{"date-parts":[[2006,1,3]],"date-time":"2006-01-03T14:36:38Z","timestamp":1136298998000},"page":"481-488","source":"Crossref","is-referenced-by-count":0,"title":["Application of Soft Computing Techniques to Classification of Licensed Subjects"],"prefix":"10.1007","author":[{"given":"Ji\u0159\u00ed","family":"Kubal\u00edk","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcel","family":"Ji\u0159ina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Old\u0159ich","family":"Stary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lenka","family":"Lhotsk\u00e1","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Such\u00fd","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"52_CR1","volume-title":"New Challenges for Energy Decision Makers [CD-ROM]","author":"M. Bene\u0161","year":"2003","unstructured":"Bene\u0161, M., Star\u00fd, O.: Risk Ranking and Selection of Licensed Subjects. In: New Challenges for Energy Decision Makers [CD-ROM]. Cleveland: IAEE, vol. 1, 2003."},{"key":"52_CR2","first-page":"81","volume":"1","author":"J.R. Quinlan","year":"1986","unstructured":"Quinlan, J.R. Induction of decision trees. Machine Learning, 1, pp. 81\u2013106, 1986.","journal-title":"Machine Learning"},{"key":"52_CR3","first-page":"45","volume":"19","author":"C.E. Brodley","year":"1995","unstructured":"Brodley, C.E., Utgoff, P.E. Multivariate decision trees. Machine Learning, 19, pp. 45\u201377, 1995.","journal-title":"Machine Learning"},{"key":"52_CR4","volume-title":"Genetic Programming: on the programming of computers by means of natural selection","author":"J. Koza","year":"1992","unstructured":"Koza, J. Genetic Programming: on the programming of computers by means of natural selection. Cambridge, MA: The MIT Press, 1992."},{"key":"52_CR5","doi-asserted-by":"crossref","unstructured":"Bot, M.C.J., Langdon, W.B. Application of genetic programming to induction of linear classification trees. Proceedings of EuroGP 2000, LNCS 1802, pp. 247\u2013258. Springer, 2000.","DOI":"10.1007\/978-3-540-46239-2_18"},{"key":"52_CR6","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"C. M. Bishop","year":"1995","unstructured":"Bishop, C. M. Neural Networks for Pattern Recognition. Oxford University Press, New York, 1995."},{"key":"52_CR7","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-61068-4","volume-title":"Neural Networks: A Systematic Introduction","author":"R. Rojas","year":"1996","unstructured":"Rojas, R. Neural Networks: A Systematic Introduction. Springer-Verlag, Berlin, Heidelberg, 1996."}],"container-title":["IFIP International Federation for Information Processing","Emerging Solutions for Future Manufacturing Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/0-387-22829-2_52.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,2]],"date-time":"2024-02-02T01:27:38Z","timestamp":1706837258000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/0-387-22829-2_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["0387228284"],"references-count":7,"URL":"https:\/\/doi.org\/10.1007\/0-387-22829-2_52","relation":{},"subject":[]}}