{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:38:12Z","timestamp":1742924292206,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319202471"},{"type":"electronic","value":"9783319202488"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-20248-8_6","type":"book-chapter","created":{"date-parts":[[2015,6,3]],"date-time":"2015-06-03T03:05:22Z","timestamp":1433300722000},"page":"64-75","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Pruning Bagging Ensembles with Metalearning"],"prefix":"10.1007","author":[{"given":"F\u00e1bio","family":"Pinto","sequence":"first","affiliation":[]},{"given":"Carlos","family":"Soares","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o","family":"Mendes-Moreira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,6,3]]},"reference":[{"issue":"1","key":"6_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.inffus.2004.04.004","volume":"6","author":"G Brown","year":"2005","unstructured":"Brown, G., Wyatt, J., Harris, R., Yao, X.: Diversity creation methods: a survey and categorisation. Inf. Fusion 6(1), 5\u201320 (2005)","journal-title":"Inf. Fusion"},{"issue":"2","key":"6_CR2","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1023\/A:1022859003006","volume":"51","author":"LI Kuncheva","year":"2003","unstructured":"Kuncheva, L.I., Whitaker, C.J.: Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach. Learn. 51(2), 181\u2013207 (2003)","journal-title":"Mach. Learn."},{"key":"6_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1007\/3-540-39205-X_81","volume-title":"Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing","author":"ZH Zhou","year":"2003","unstructured":"Zhou, Z.H., Tang, W.: Selective ensemble of decision trees. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 476\u2013483. Springer, Heidelberg (2003)"},{"key":"6_CR4","first-page":"1315","volume":"7","author":"Y Zhang","year":"2006","unstructured":"Zhang, Y., Burer, S., Street, W.N.: Ensemble pruning via semi-definite programming. J. Mach. Learn. Res. 7, 1315\u20131338 (2006)","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"6_CR5","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1109\/TPAMI.2008.78","volume":"31","author":"G Martinez-Mu\u00f1oz","year":"2009","unstructured":"Martinez-Mu\u00f1oz, G., Hern\u00e1ndez-Lobato, D., Su\u00e1rez, A.: An analysis of ensemble pruning techniques based on ordered aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2), 245\u2013259 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"6_CR6","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"key":"6_CR7","unstructured":"Blake, C., Merz, C.J.: UCI repository of machine learning databases (1998)"},{"key":"6_CR8","unstructured":"Margineantu, D.D., Dietterich, T.G.: Pruning adaptive boosting. In: ICML, vol. 97, pp. 211\u2013218. Citeseer (1997)"},{"key":"6_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1007\/11875581_39","volume-title":"Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2006","author":"D Hern\u00e1ndez-Lobato","year":"2006","unstructured":"Hern\u00e1ndez-Lobato, D., Hern\u00e1ndez-Lobato, J.M., Ruiz-Torrubiano, R., Valle, \u00c1.: Pruning adaptive boosting ensembles by means of a genetic algorithm. In: Corchado, E., Yin, H., Botti, V., Fyfe, C. (eds.) IDEAL 2006. LNCS, vol. 4224, pp. 322\u2013329. Springer, Heidelberg (2006)"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Qian, C., Yu, Y., Zhou, Z.H.: Pareto ensemble pruning. In: AAAI Conference on Artificial Intelligence (2015)","DOI":"10.1609\/aaai.v29i1.9579"},{"key":"6_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1007\/978-3-642-33460-3_27","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"N Li","year":"2012","unstructured":"Li, N., Yu, Y., Zhou, Z.-H.: Diversity regularized ensemble pruning. In: Flach, P.A., De Bie, T., Cristianini, N. (eds.) ECML PKDD 2012, Part I. LNCS, vol. 7523, pp. 330\u2013345. Springer, Heidelberg (2012)"},{"issue":"5","key":"6_CR12","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1016\/j.patcog.2012.10.021","volume":"46","author":"D Hern\u00e1ndez-Lobato","year":"2013","unstructured":"Hern\u00e1ndez-Lobato, D., Mart\u00ednez-Mu\u00f1oz, G., Su\u00e1rez, A.: How large should ensembles of classifiers be? Pattern Recogn. 46(5), 1323\u20131336 (2013)","journal-title":"Pattern Recogn."},{"issue":"1","key":"6_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2379776.2379786","volume":"45","author":"J Mendes-Moreira","year":"2012","unstructured":"Mendes-Moreira, J., Soares, C., Jorge, A.M., Sousa, J.F.D.: Ensemble approaches for regression: a survey. ACM Comput. Surv. (CSUR) 45(1), 1\u201340 (2012). Article No. 10","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"6_CR14","volume-title":"Metalearning: Applications to Data Mining","author":"P Brazdil","year":"2008","unstructured":"Brazdil, P., Carrier, C.G., Soares, C., Vilalta, R.: Metalearning: Applications to Data Mining. Springer, Heidelberg (2008)"},{"issue":"3","key":"6_CR15","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1023\/A:1021709817809","volume":"50","author":"L Todorovski","year":"2003","unstructured":"Todorovski, L., D\u017eeroski, S.: Combining classifiers with meta decision trees. Mach. Learn. 50(3), 223\u2013249 (2003)","journal-title":"Mach. Learn."},{"key":"6_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/3-540-36182-0_14","volume-title":"Discovery Science","author":"Y Peng","year":"2002","unstructured":"Peng, Y., Flach, P.A., Soares, C., Brazdil, P.: Improved Dataset Characterisation for Meta-learning. In: Lange, S., Satoh, K., Smith, C.H. (eds.) DS 2002. LNCS, vol. 2534, pp. 141\u2013152. Springer, Heidelberg (2002)"},{"key":"6_CR17","unstructured":"Pfahringer, B., Bensusan, H., Giraud-Carrier, C.: Tell me who can learn you and i can tell you who you are: landmarking various learning algorithms. In: Proceedings of the 17th International Conference on Machine Learning, pp. 743\u2013750 (2000)"},{"key":"6_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/978-3-319-14717-8_16","volume-title":"Advanced Data Mining and Applications","author":"F Pinto","year":"2014","unstructured":"Pinto, F., Soares, C., Mendes-Moreira, J.: An empirical methodology to analyze the behavior of bagging. In: Luo, X., Yu, J.X., Li, Z. (eds.) ADMA 2014. LNCS, vol. 8933, pp. 199\u2013212. Springer, Heidelberg (2014)"},{"issue":"4","key":"6_CR19","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1145\/582415.582418","volume":"20","author":"K J\u00e4rvelin","year":"2002","unstructured":"J\u00e4rvelin, K., Kek\u00e4l\u00e4inen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst. (TOIS) 20(4), 422\u2013446 (2002)","journal-title":"ACM Trans. Inf. Syst. (TOIS)"},{"issue":"1","key":"6_CR20","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/18.61115","volume":"37","author":"J Lin","year":"1991","unstructured":"Lin, J.: Divergence measures based on the shannon entropy. IEEE Trans. Inf. Theory 37(1), 145\u2013151 (1991)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"6_CR21","doi-asserted-by":"crossref","unstructured":"Saez, C., Robles, M., Garcia-Gomez, J.M.: Comparative study of probability distribution distances to define a metric for the stability of multi-source biomedical research data. In: EMBC, pp. 3226\u20133229. IEEE (2013)","DOI":"10.1109\/EMBC.2013.6610228"},{"key":"6_CR22","unstructured":"F\u00fcrnkranz, J., Petrak, J.: An evaluation of landmarking variants. In: ECML\/ PKDD 2000 Workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning, pp. 57\u201368 (2001)"},{"key":"6_CR23","unstructured":"Peterson, A.H., Martinez, T.: Estimating the potential for combining learning models. In: Proceedings of the ICML Workshop on Meta-Learning, pp. 68\u201375 (2005)"},{"issue":"6","key":"6_CR24","doi-asserted-by":"crossref","first-page":"827","DOI":"10.3233\/IDA-2011-0498","volume":"15","author":"JW Lee","year":"2011","unstructured":"Lee, J.W., Giraud-Carrier, C.: A metric for unsupervised metalearning. Intell. Data Anal. 15(6), 827\u2013841 (2011)","journal-title":"Intell. Data Anal."},{"key":"6_CR25","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1\u201330 (2006)","journal-title":"J. Mach. Learn. Res."},{"key":"6_CR26","unstructured":"Wang, Y., Witten, I.H.: Inducing model trees for continuous classes. In: Proceedings of the Ninth European Conference on Machine Learning, pp. 128\u2013137 (1997)"},{"issue":"3","key":"6_CR27","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"issue":"1","key":"6_CR28","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"6_CR29","volume-title":"R: A Language and Environment for Statistical Computing","author":"R Core Team","year":"2012","unstructured":"R Core Team, : R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna (2012). ISBN 3-900051-07-0"},{"issue":"1\u20132","key":"6_CR30","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1023\/A:1025667309714","volume":"53","author":"M Robnik-\u0160ikonja","year":"2003","unstructured":"Robnik-\u0160ikonja, M., Kononenko, I.: Theoretical and empirical analysis of ReliefF and RReliefF. Mach. Learn. 53(1\u20132), 23\u201369 (2003)","journal-title":"Mach. Learn."},{"issue":"4","key":"6_CR31","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1007\/PL00011678","volume":"3","author":"AL Prodromidis","year":"2001","unstructured":"Prodromidis, A.L., Stolfo, S.J.: Cost complexity-based pruning of ensemble classifiers. Knowl. Inf. Syst. 3(4), 449\u2013469 (2001)","journal-title":"Knowl. Inf. Syst."}],"container-title":["Lecture Notes in Computer Science","Multiple Classifier Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-20248-8_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T08:37:04Z","timestamp":1676018224000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-20248-8_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319202471","9783319202488"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-20248-8_6","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":"3 June 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}