{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T15:29:42Z","timestamp":1759159782560},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642389887"},{"type":"electronic","value":"9783642389894"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-38989-4_34","type":"book-chapter","created":{"date-parts":[[2013,6,5]],"date-time":"2013-06-05T15:17:56Z","timestamp":1370445476000},"page":"335-343","source":"Crossref","is-referenced-by-count":6,"title":["Assessments Metrics for Multi-class Imbalance Learning: A Preliminary Study"],"prefix":"10.1007","author":[{"given":"R.","family":"Alejo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. A.","family":"Antonio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R. M.","family":"Valdovinos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. H.","family":"Pacheco-S\u00e1nchez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"34_CR1","doi-asserted-by":"crossref","unstructured":"Tsoumakas, G., Katakis, I.: Multi-label classification: An overview. Int. J. Data Warehousing and Mining, 1\u201313 (2007)","DOI":"10.4018\/jdwm.2007070101"},{"issue":"1","key":"34_CR2","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.patcog.2006.04.041","volume":"40","author":"G. Ou","year":"2007","unstructured":"Ou, G., Murphey, Y.L.: Multi-class pattern classification using neural networks. Pattern Recognition\u00a040(1), 4\u201318 (2007)","journal-title":"Pattern Recognition"},{"key":"34_CR3","unstructured":"Wang, S., Yao, X.: Multi-class imbalance problems: Analysis and potential solutions. IEEE Transactions on IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics\u00a0(99), 1\u201312 (2012)"},{"key":"34_CR4","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1109\/TKDE.2006.17","volume":"18","author":"Z.H. Zhou","year":"2006","unstructured":"Zhou, Z.H., Liu, X.Y.: Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transactions on Knowledge and Data Engineering\u00a018, 63\u201377 (2006)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"15","key":"34_CR5","doi-asserted-by":"publisher","first-page":"2375","DOI":"10.1016\/j.patrec.2010.07.010","volume":"31","author":"M.D. P\u00e9rez-Godoy","year":"2010","unstructured":"P\u00e9rez-Godoy, M.D., Fern\u00e1ndez, A., Rivera, A.J., del Jesus, M.J.: Analysis of an evolutionary rbfn design algorithm, co2rbfn, for imbalanced data sets. Pattern Recogn. Lett.\u00a031(15), 2375\u20132388 (2010)","journal-title":"Pattern Recogn. Lett."},{"issue":"9","key":"34_CR6","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1109\/TKDE.2008.239","volume":"21","author":"H. He","year":"2009","unstructured":"He, H., Garcia, E.: Learning from imbalanced data. IEEE Transactions on Knowledge and Data Engineering\u00a021(9), 1263\u20131284 (2009)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Garc\u00eda, V., Mollineda, R.A., S\u00e1nchez, J.S.: Theoretical analysis of a performance measure for imbalanced data. In: ICPR, pp. 617\u2013620 (2010)","DOI":"10.1109\/ICPR.2010.156"},{"issue":"1","key":"34_CR8","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.patrec.2008.08.010","volume":"30","author":"C. Ferri","year":"2009","unstructured":"Ferri, C., Hern\u00e1ndez-Orallo, J., Modroiu, R.: An experimental comparison of performance measures for classification. Pattern Recognition Letter\u00a030(1), 27\u201338 (2009)","journal-title":"Pattern Recognition Letter"},{"key":"34_CR9","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","volume":"27","author":"T. Fawcett","year":"2006","unstructured":"Fawcett, T.: An introduction to roc analysis. Pattern Recogn. Lett.\u00a027, 861\u2013874 (2006)","journal-title":"Pattern Recogn. Lett."},{"key":"34_CR10","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1016\/S0167-8655(97)00109-8","volume":"18","author":"L. Bruzzone","year":"1997","unstructured":"Bruzzone, L., Serpico, S.: Classification of imbalanced remote-sensing data by neural networks. Pattern Recognition Letters\u00a018, 1323\u20131328 (1997)","journal-title":"Pattern Recognition Letters"},{"key":"34_CR11","unstructured":"A. Asuncion, D.N.: UCI machine learning repository (2007)"},{"issue":"1-2","key":"34_CR12","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"97","author":"R. Kohavi","year":"1997","unstructured":"Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artif. Intell.\u00a097(1-2), 273\u2013324 (1997)","journal-title":"Artif. Intell."},{"key":"34_CR13","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1613\/jair.1199","volume":"19","author":"G.M. Weiss","year":"2003","unstructured":"Weiss, G.M., Provost, F.J.: Learning when training data are costly: The effect of class distribution on tree induction. J. Artif. Intell. Res. (JAIR)\u00a019, 315\u2013354 (2003)","journal-title":"J. Artif. Intell. Res. (JAIR)"},{"issue":"4","key":"34_CR14","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1109\/TSMC.1972.4309137","volume":"2","author":"D. Wilson","year":"1972","unstructured":"Wilson, D.: Asymptotic properties of nearest neighbor rules using edited data. IEEE Transactions on Systems, Man and Cybernetics\u00a02(4), 408\u2013420 (1972)","journal-title":"IEEE Transactions on Systems, Man and Cybernetics"},{"issue":"6","key":"34_CR15","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1016\/S0167-8655(97)00035-4","volume":"18","author":"J.S. S\u00e1nchez","year":"1997","unstructured":"S\u00e1nchez, J.S., Pla, F., Ferri, F.J.: Prototype selection for the nearest neighbour rule through proximity graphs. Pattern Recognition Letters\u00a018(6), 507\u2013513 (1997)","journal-title":"Pattern Recognition Letters"},{"issue":"4","key":"34_CR16","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1016\/j.patrec.2012.09.003","volume":"34","author":"R. Alejo","year":"2012","unstructured":"Alejo, R., Valdovinos, R., Garc\u00eda, V., Pacheco-Sanchez, J.: A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios. Pattern Recognition Letters\u00a034(4), 380\u2013388 (2012)","journal-title":"Pattern Recognition Letters"},{"key":"34_CR17","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1162\/evco.2009.17.3.275","volume":"17","author":"S. Garc\u00eda","year":"2009","unstructured":"Garc\u00eda, S., Herrera, F.: Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy. Evolutionary Computation\u00a017, 275\u2013306 (2009)","journal-title":"Evolutionary Computation"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-38989-4_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T16:45:59Z","timestamp":1557765959000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-38989-4_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642389887","9783642389894"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-38989-4_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}