{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T04:10:02Z","timestamp":1748751002109,"version":"3.41.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319257822"},{"type":"electronic","value":"9783319257839"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-25783-9_24","type":"book-chapter","created":{"date-parts":[[2015,11,7]],"date-time":"2015-11-07T01:25:39Z","timestamp":1446859539000},"page":"267-277","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["The Boosting and Bootstrap Ensemble for Classifiers Based on Weak Rough Inclusions"],"prefix":"10.1007","author":[{"given":"Piotr","family":"Artiemjew","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,11,8]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Artiemjew, P.: Classifiers based on rough mereology in analysis of DNA microarray data. In: Proceedings of Second International Conference of Soft Computing and Pattern Recognition (SoCPar2010), pp. 273\u2013278. IEEE Computer Society, Cergy Pontoise (2010)","DOI":"10.1109\/SOCPAR.2010.5686493"},{"key":"24_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1007\/978-3-642-24425-4_81","volume-title":"Rough Sets and Knowledge Technology","author":"P Artiemjew","year":"2011","unstructured":"Artiemjew, P.: The extraction method of DNA microarray features based on experimental A statistics. In: Yao, J.T., Ramanna, S., Wang, G., Suraj, Z. (eds.) RSKT 2011. LNCS, vol. 6954, pp. 642\u2013648. Springer, Heidelberg (2011)"},{"key":"24_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/978-3-642-21916-0_4","volume-title":"Foundations of Intelligent Systems","author":"P Artiemjew","year":"2011","unstructured":"Artiemjew, P.: The extraction method of DNA microarray features based on modified F statistics vs. classifier based on rough mereology. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., Ra\u015b, Z.W. (eds.) ISMIS 2011. LNCS (LNAI), vol. 6804, pp. 33\u201342. Springer, Heidelberg (2011)"},{"issue":"4","key":"24_CR4","first-page":"241","volume":"37","author":"P Artiemjew","year":"2012","unstructured":"Artiemjew, P.: Review of the extraction methods of DNA microarray features based on central decision class separation vs rough set classifier. Found. Comput. Decis. Sci. 37(4), 241\u2013254 (2012)","journal-title":"Found. Comput. Decis. Sci."},{"issue":"2","key":"24_CR5","first-page":"110","volume":"6","author":"P Artiemjew","year":"2014","unstructured":"Artiemjew, P.: Rough mereology classifier vs simple DNA microarray gene extraction methods. Int. J. Data Min. Model. Manage. Spec. Issue Pattern Recogn. 6(2), 110\u2013126 (2014)","journal-title":"Int. J. Data Min. Model. Manage. Spec. Issue Pattern Recogn."},{"key":"24_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-5300-3","volume-title":"Metamathematics of Fuzzy Logic","author":"P H\u00e1jek","year":"1998","unstructured":"H\u00e1jek, P.: Metamathematics of Fuzzy Logic. Kluwer, Dordrecht (1998)"},{"key":"24_CR7","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1002\/9780470724163.ch16","volume-title":"Handbook of Granular Computing","author":"L Polkowski","year":"2008","unstructured":"Polkowski, L.: A unified approach to granulation of knowledge and granular computing based on rough mereology: a survey. In: Pedrycz, W., Skowron, A., Kreinovich, V. (eds.) Handbook of Granular Computing, pp. 375\u2013401. Wiley, New York (2008)"},{"key":"24_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1007\/978-3-540-89876-4_15","volume-title":"Transactions on Rough Sets IX","author":"L Polkowski","year":"2008","unstructured":"Polkowski, L., Artiemjew, P.: On classifying mappings induced by granular structures. In: Peters, J.F., Skowron, A., Rybi\u0144ski, H. (eds.) Transactions on Rough Sets IX. LNCS, vol. 5390, pp. 264\u2013286. Springer, Heidelberg (2008)"},{"key":"24_CR9","series-title":"Intelligent Systems Reference Library","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12880-1","volume-title":"Granular Computing in Decision Approximation - An Application of Rough Mereology","author":"L Polkowski","year":"2015","unstructured":"Polkowski, L., Artiemjew, P.: Granular Computing in Decision Approximation - An Application of Rough Mereology. Intelligent Systems Reference Library, vol. 77. Springer, Switzerland (2015). ISBN 978-3-319-12879-5, pp. 1\u2013422"},{"key":"24_CR10","unstructured":"Ohno-Machado, L.: Cross-validation and Bootstrap Ensembles, Bagging, Boosting, Harvard-MIT Division of Health Sciences and Technology, HST.951J: Medical Decision Support, Fall (2005). http:\/\/ocw.mit.edu\/courses\/health-sciences-and-technology\/hst-951j-medical-decision-support-fall-2005\/lecture-notes\/hst951_6.pdf"},{"key":"24_CR11","unstructured":"Zhou, Z.-H.: Ensemble Methods: Foundations and Algorithms. Chapman and Hall\/CRC, p. 23. ISBN 978-1439830031. The term boosting refers to a family of algorithms that are able to convert weak learners to strong learners (2012)"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Schapire, R.E.: The boosting approach to machine learning: an overview. In: MSRI (Mathematical Sciences Research Institute) Workshop on Nonlinear Estimation and Classification (2003)","DOI":"10.1007\/978-0-387-21579-2_9"},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Zhou, Z.-H.: Boosting 25 years, CCL 2014 Keynote (2014)","DOI":"10.1149\/MA2014-03\/5\/556"},{"issue":"3","key":"24_CR14","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1214\/aos\/1024691079","volume":"26","author":"L Breiman","year":"1998","unstructured":"Breiman, L.: Arcing classifier (with discussion and a rejoinder by the author). Ann. Statist. 26(3), 801\u2013849 (1998). Accessed 18 January 2015. Schapire (1990) proved that boosting is possible, p. 823","journal-title":"Ann. Statist."},{"key":"24_CR15","unstructured":"Schapire, R.E.: A Short Introduction to Boosting (1999)"},{"key":"24_CR16","unstructured":"Hu, X.: Construction of an ensemble of classifiers based on rough sets theory and database operations. In: Proceedings of the IEEE International Conference on Data Mining (ICDM2001) (2001)"},{"key":"24_CR17","unstructured":"Hu, X.: Ensembles of classifiers based on rough sets theory and set-oriented database operations. In: Presented at the 2006 IEEE International Conference on Granular Computing, Atlanta, GA (2006)"},{"issue":"1\u20132","key":"24_CR18","doi-asserted-by":"crossref","first-page":"171","DOI":"10.3233\/FUN-2007-761-211","volume":"76","author":"S Saha","year":"2007","unstructured":"Saha, S., Murthy, C.A., Pal, S.K.: Rough set based ensemble classifier for web page classification. Fundamenta Informaticae 76(1\u20132), 171\u2013187 (2007)","journal-title":"Fundamenta Informaticae"},{"issue":"1","key":"24_CR19","first-page":"89","volume":"6","author":"L Shi","year":"2010","unstructured":"Shi, L., Weng, M., Ma, X., Xi, L.: Rough set based decision tree ensemble algorithm for text classification. J. Comput. Inf. Syst. 6(1), 89\u201395 (2010)","journal-title":"J. Comput. Inf. Syst."},{"key":"24_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/978-3-642-21881-1_5","volume-title":"Rough Sets, Fuzzy Sets, Data Mining and Granular Computing","author":"CA Murthy","year":"2011","unstructured":"Murthy, C.A., Saha, S., Pal, S.K.: Rough set based ensemble classifier. In: Kuznetsov, S.O., \u015al\u0119zak, D., Hepting, D.H., Mirkin, B.G. (eds.) RSFDGrC 2011. LNCS, vol. 6743, pp. 27\u201327. Springer, Heidelberg (2011)"}],"container-title":["Lecture Notes in Computer Science","Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-25783-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T10:22:10Z","timestamp":1748686930000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-25783-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319257822","9783319257839"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-25783-9_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"8 November 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}