{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T20:41:30Z","timestamp":1743021690189,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319591469"},{"type":"electronic","value":"9783319591476"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-59147-6_47","type":"book-chapter","created":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T21:04:08Z","timestamp":1494968648000},"page":"549-560","source":"Crossref","is-referenced-by-count":3,"title":["Constraining Type II Error: Building Intentionally Biased Classifiers"],"prefix":"10.1007","author":[{"given":"Ricardo","family":"Cruz","sequence":"first","affiliation":[]},{"given":"Kelwin","family":"Fernandes","sequence":"additional","affiliation":[]},{"given":"Joaquim F.","family":"Pinto Costa","sequence":"additional","affiliation":[]},{"given":"Jaime S.","family":"Cardoso","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,18]]},"reference":[{"key":"47_CR1","doi-asserted-by":"crossref","unstructured":"Bessa, S., Domingues, I., Cardoso, J.S., Passarinho, P., Cardoso, P., Rodrigues, V., Lage, F.: Normal breast identification in screening mammography: a study on 18 000 images. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 325\u2013330. IEEE (2014)","DOI":"10.1109\/BIBM.2014.6999178"},{"key":"47_CR2","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Philip Kegelmeyer, W.: SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"47_CR3","doi-asserted-by":"crossref","unstructured":"Domingos, P.: MetaCost: a general method for making classifiers cost-sensitive. In: Proceedings of the Fifth International Conference on Knowledge Discovery, vol. 55, pp. 155\u2013164 (1999)","DOI":"10.1145\/312129.312220"},{"key":"47_CR4","first-page":"49","volume":"1","author":"W Gang","year":"2003","unstructured":"Gang, W., Chang, E.: Class-boundary alignment for imbalanced dataset learning. Twent. Int. Conf. Mach. Learn. (ICML) 1, 49\u201356 (2003)","journal-title":"Twent. Int. Conf. Mach. Learn. (ICML)"},{"key":"47_CR5","first-page":"1713","volume":"7","author":"FR Bach","year":"2006","unstructured":"Bach, F.R.: Considering cost asymmetry in learning classifiers. JMLR 7, 1713\u20131741 (2006)","journal-title":"JMLR"},{"key":"47_CR6","unstructured":"Lichman, M.: UCI Machine Learning Repository (2013)"},{"issue":"4","key":"47_CR7","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1287\/opre.43.4.570","volume":"43","author":"OL Mangasarian","year":"1995","unstructured":"Mangasarian, O.L., Street, W.N., Wolberg, W.H.: Breast cancer diagnosis and prognosis via linear programming. Oper. Res. 43(4), 570\u2013577 (1995)","journal-title":"Oper. Res."},{"issue":"4","key":"47_CR8","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1016\/j.dss.2009.05.016","volume":"47","author":"P Cortez","year":"2009","unstructured":"Cortez, P., Cerdeira, A., Almeida, F., Matos, T., Reis, J.: Modeling wine preferences by data mining from physicochemical properties. Decis. Support Syst. 47(4), 547\u2013553 (2009)","journal-title":"Decis. Support Syst."},{"key":"47_CR9","series-title":"Wiley Series in Probability and Statistics","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316849","volume-title":"Multivariate Density Estimation","author":"DW Scott","year":"1992","unstructured":"Scott, D.W.: Multivariate Density Estimation. Wiley Series in Probability and Statistics. Wiley, Hoboken (1992)"},{"key":"47_CR10","doi-asserted-by":"crossref","unstructured":"Cruz, R., Fernandes, K., Cardoso, J.S., Costa, J.F.P.: Tackling class imbalance with ranking. In: International Joint Conference on Neural Networks (IJCNN). IEEE (2016)","DOI":"10.1109\/IJCNN.2016.7727469"},{"key":"47_CR11","doi-asserted-by":"crossref","unstructured":"Li, H.: Learning to Rank for Information Retrieval and Natural Language Processing, vol. 4 (2011)","DOI":"10.2200\/S00348ED1V01Y201104HLT012"},{"key":"47_CR12","doi-asserted-by":"crossref","unstructured":"Herbrich, R., Graepel, T., Obermayer, K.: Support vector learning for ordinal regression a risk formulation for ordinal regression. In: Proceedings of the Ninth International Conference on Artificial Neural Networks, pp. 97\u2013102 (1999)","DOI":"10.1049\/cp:19991091"},{"key":"47_CR13","doi-asserted-by":"crossref","unstructured":"Agarwal, R., Joshi, M.V.: Pnrule: a new framework for learning classifier models in data mining (a case-study in network intrusion detection). In: Proceedings of the SIAM International Conference on Data Mining, pp. 1\u201317. SIAM (2001)","DOI":"10.1137\/1.9781611972719.29"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59147-6_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,24]],"date-time":"2019-09-24T14:55:47Z","timestamp":1569336947000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59147-6_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319591469","9783319591476"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59147-6_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}