{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T06:32:47Z","timestamp":1761978767472,"version":"build-2065373602"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642420566"},{"type":"electronic","value":"9783642420573"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-42057-3_69","type":"book-chapter","created":{"date-parts":[[2013,11,16]],"date-time":"2013-11-16T14:28:04Z","timestamp":1384612084000},"page":"546-553","source":"Crossref","is-referenced-by-count":12,"title":["Adaptive Weight Optimization for Classification of Imbalanced Data"],"prefix":"10.1007","author":[{"given":"Wenhao","family":"Huang","sequence":"first","affiliation":[]},{"given":"Guojie","family":"Song","sequence":"additional","affiliation":[]},{"given":"Man","family":"Li","sequence":"additional","affiliation":[]},{"given":"Weisong","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Kunqing","family":"Xie","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"69_CR1","doi-asserted-by":"crossref","unstructured":"Bratton, D., Kennedy, J.: Defining a standard for particle swarm optimization. In: IEEE Swarm Intelligence Symposium, SIS 2007, pp. 120\u2013127. IEEE (2007)","DOI":"10.1109\/SIS.2007.368035"},{"key":"69_CR2","doi-asserted-by":"crossref","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. In: Journal of Artificial Intelligence Research, pp. 321\u2013357 (2002)","DOI":"10.1613\/jair.953"},{"key":"69_CR3","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez, A., Garc\u00eda, S., Herrera, F.: Addressing the classification with imbalanced data: open problems and new challenges on class distribution. In: Hybrid Artificial Intelligent Systems, pp. 1\u201310 (2011)","DOI":"10.1007\/978-3-642-21219-2_1"},{"issue":"9","key":"69_CR4","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.A.: 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":"69_CR5","doi-asserted-by":"crossref","unstructured":"Jan, T.K., Wang, D.W., Lin, C.H., Lin, H.T.: A simple methodology for soft cost-sensitive classification. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 141\u2013149. ACM (2012)","DOI":"10.1145\/2339530.2339555"},{"issue":"2","key":"69_CR6","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1109\/TSMCB.2008.2007853","volume":"39","author":"X.Y. Liu","year":"2009","unstructured":"Liu, X.Y., Wu, J., Zhou, Z.H.: Exploratory undersampling for class-imbalance learning. IEEE Transactions on ystems, Man, and Cybernetics, Part B: Cybernetics\u00a039(2), 539\u2013550 (2009)","journal-title":"IEEE Transactions on ystems, Man, and Cybernetics, Part B: Cybernetics"},{"key":"69_CR7","unstructured":"Masnadi-Shirazi, H., Vasconcelos, N.: Risk minimization, probability elicitation, and cost-sensitive svms. In: Proceedings of the International Conference on Machine Learning, pp. 204\u2013213 (2010)"},{"key":"69_CR8","doi-asserted-by":"crossref","unstructured":"Quionero-Candela, J., Sugiyama, M., Schwaighofer, A., Lawrence, N.D.: Dataset shift in machine learning. The MIT Press (2009)","DOI":"10.7551\/mitpress\/9780262170055.001.0001"},{"key":"69_CR9","doi-asserted-by":"crossref","unstructured":"Rosenberg, A.: Classifying skewed data: Importance weighting to optimize average recall (2012)","DOI":"10.21437\/Interspeech.2012-131"},{"key":"69_CR10","doi-asserted-by":"crossref","unstructured":"Thai-Nghe, N., Gantner, Z., Schmidt-Thieme, L.: Cost-sensitive learning methods for imbalanced data. In: The 2010 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20138. IEEE (2010)","DOI":"10.1109\/IJCNN.2010.5596486"},{"issue":"3","key":"69_CR11","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1109\/TKDE.2002.1000348","volume":"14","author":"K.M. Ting","year":"2002","unstructured":"Ting, K.M.: An instance-weighting method to induce cost-sensitive trees. IEEE Transactions on nowledge and Data Engineering\u00a014(3), 659\u2013665 (2002)","journal-title":"IEEE Transactions on nowledge and Data Engineering"},{"issue":"1","key":"69_CR12","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1145\/1007730.1007734","volume":"6","author":"G.M. Weiss","year":"2004","unstructured":"Weiss, G.M.: Mining with rarity: a unifying framework. Sigkdd Explorations\u00a06(1), 7\u201319 (2004)","journal-title":"Sigkdd Explorations"},{"key":"69_CR13","doi-asserted-by":"crossref","unstructured":"Zadrozny, B., Langford, J., Abe, N.: Cost-sensitive learning by cost-proportionate example weighting. In: Third IEEE International Conference on Data Mining, ICDM 2003, pp. 435\u2013442. IEEE (2003)","DOI":"10.1109\/ICDM.2003.1250950"}],"container-title":["Lecture Notes in Computer Science","Intelligence Science and Big Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-42057-3_69","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T20:50:50Z","timestamp":1746046250000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-42057-3_69"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642420566","9783642420573"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-42057-3_69","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}