{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T19:42:33Z","timestamp":1725565353862},"publisher-location":"Berlin, Heidelberg","reference-count":8,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540221173"},{"type":"electronic","value":"9783540259299"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-25929-9_58","type":"book-chapter","created":{"date-parts":[[2010,9,11]],"date-time":"2010-09-11T01:25:47Z","timestamp":1284168347000},"page":"483-487","source":"Crossref","is-referenced-by-count":10,"title":["Rules from Belief Networks: A Rough Set Approach"],"prefix":"10.1007","author":[{"given":"Teresa","family":"Mroczek","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jerzy W.","family":"Grzyma\u0142a-Busse","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zdzis\u0142aw S.","family":"Hippe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"58_CR1","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"538","DOI":"10.1007\/3-540-45813-1_71","volume-title":"Rough Sets and Current Trends in Computing","author":"J.W. Grzyma\u0142a-Busse","year":"2002","unstructured":"Grzyma\u0142a-Busse, J.W., Hippe, Z.S.: A Search for the Best Data Mining Method to Predict Melanoma. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol.\u00a02475, pp. 538\u2013545. Springer, Heidelberg (2002)"},{"issue":"3-4","key":"58_CR2","first-page":"181","volume":"18","author":"M.R. Chmielewski","year":"1993","unstructured":"Chmielewski, M.R., Grzyma\u0142a-Busse, J.W., Peterson, N.W., Than, S.: The Rule Induc-tion System LERS - A Version for Personal Computers. Foundations of Computing and Dec. Sciences\u00a018(3-4), 181\u2013211 (1993)","journal-title":"Foundations of Computing and Dec. Sciences"},{"key":"58_CR3","unstructured":"B\u0142ajdo, P., Grzyma\u0142a-Busse, J.W., Hippe, Z.S., Knap, M., Marek, T., Mroczek, T., Wrzesie\u0144, M.: A suite of machine learning tools for knowledge extraction from data. In: Tadeusiewicz, R., Lig\u0119za, A., Szymkat, M. (eds.) Computer Methods and Systems in Scientific Research, Edition of \u201dOprogr. Naukowe\u201d, Cracow, pp. 479\u2013484 (2003) (in Polish)"},{"key":"58_CR4","unstructured":"Hippe, Z.S., Mroczek, T.: Melanoma classification and prediction using belief networks. In: Kurzynski, M., Pucha\u0142a, E., Wozniak, M. (eds.) Computer Recognition Systems, Wroc\u0142aw University of Technology Edit. Office, Wroc\u0142aw, pp. 337\u2013342 (2003)"},{"key":"58_CR5","volume-title":"Rough Sets. Theoretical Aspects of Reasoning about Data","author":"Z. Pawlak","year":"1991","unstructured":"Pawlak, Z.: Rough Sets. Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordercht (1991)"},{"key":"58_CR6","doi-asserted-by":"crossref","unstructured":"Cooper, G.F., Herskovits, E.: A Byesian method for the induction of probabilistic networks from data. Machine Learning\u00a0(9), 309\u2013347 (1992)","DOI":"10.1007\/BF00994110"},{"key":"58_CR7","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1007\/978-3-540-25929-9_78","volume-title":"Rough Sets and Current Trends in Computing","author":"R. Andrews","year":"2004","unstructured":"Andrews, R., Bajcar, S., Grzyma\u0142a-Busse, J.W., Hippe, Z.S., Whiteley, C.: Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System. In: Tsumoto, S., S\u0142owi\u0144ski, R., Komorowski, J., Grzyma\u0142a-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol.\u00a03066, pp. 630\u2013636. Springer, Heidelberg (2004)"},{"key":"58_CR8","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1080\/000155599750009942","volume":"79","author":"H. Lorentzen","year":"1999","unstructured":"Lorentzen, H., Weissman, K., Secher, L., Peterson, C.S., Larsen, F.G.: The dermatoscopic ABCD rule does not improve diagnostic accuracy of malignant melanoma. Acta Derm. Venereol\u00a079, 469\u2013472 (1999)","journal-title":"Acta Derm. Venereol"}],"container-title":["Lecture Notes in Computer Science","Rough Sets and Current Trends in Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-25929-9_58.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T04:58:31Z","timestamp":1605761911000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-25929-9_58"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540221173","9783540259299"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-25929-9_58","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2004]]}}}