{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T06:14:58Z","timestamp":1742969698821,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642346538"},{"type":"electronic","value":"9783642346545"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-34654-5_11","type":"book-chapter","created":{"date-parts":[[2012,11,15]],"date-time":"2012-11-15T10:33:06Z","timestamp":1352975586000},"page":"101-110","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing the Performance of SVM on Skewed Data Sets by Exciting Support Vectors"],"prefix":"10.1007","author":[{"given":"Jos\u00e9","family":"Hern\u00e1ndez Santiago","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jair","family":"Cervantes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asdr\u00fabal","family":"L\u00f3pez-Chau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farid Garc\u00eda","family":"Lamont","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"11_CR1","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/978-3-540-30115-8_7","volume-title":"Machine Learning: ECML 2004","author":"R. Akbani","year":"2004","unstructured":"Akbani, R., Kwek, S., Japkowicz, N.: Applying Support Vector Machines to Imbalanced Datasets. In: Boulicaut, J.F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) ECML 2004. LNCS (LNAI), vol.\u00a03201, pp. 39\u201350. Springer, Heidelberg (2004)"},{"key":"11_CR2","first-page":"1441","volume-title":"IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2003)","author":"L. Arbach","year":"2003","unstructured":"Arbach, L., Reinhardt, J., Bennett, D., Fallouh, G.: Mammographic Masses Classification \u2013 Comparison Between Backpropagation Neural Network (BNN), K Nearest Neighbors (KNN), and Human Readers. In: IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2003), vol.\u00a03, pp. 1441\u20131444. IEEE, Washington, DC (2003)"},{"key":"11_CR3","doi-asserted-by":"publisher","first-page":"2683","DOI":"10.1109\/ICSMC.2009.5346130","volume-title":"IEEE International Conference on Systems, Man and Cybernetics (SMC 2009)","author":"J. Cervantes","year":"2009","unstructured":"Cervantes, J., Li, X., Yu, W.: Splice Site Detection in DNA Sequences Using a Fast Classification Algorithm. In: IEEE International Conference on Systems, Man and Cybernetics (SMC 2009), pp. 2683\u20132688. IEEE, Washington, DC (2009)"},{"issue":"1","key":"11_CR4","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"N.V. Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: SMOTE \u2013 Synthetic Minority Over-Sampling Technique. Journal of Artificial Intelligence Research\u00a016(1), 321\u2013357 (2002)","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"7","key":"11_CR5","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1093\/bioinformatics\/bti132","volume":"21","author":"G. Dror","year":"2005","unstructured":"Dror, G., Sorek, R., Shamir, R.: Accurate Identification of Alternatively Spliced Exons Using Support Vector Machine. Bioinformatics\u00a021(7), 897\u2013901 (2005)","journal-title":"Bioinformatics"},{"issue":"8","key":"11_CR6","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 Recognition Letters\u00a027(8), 861\u2013874 (2006)","journal-title":"Pattern Recognition Letters"},{"issue":"1","key":"11_CR7","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1145\/1007730.1007736","volume":"6","author":"H. Guo","year":"2004","unstructured":"Guo, H.: Learning from Imbalanced Data Sets with Boosting and Data Generation \u2013 The DataBoost\u2013IM Approach. ACM SIGKDD Explorations Newsletter\u00a06(1), 30\u201339 (2004)","journal-title":"ACM SIGKDD Explorations Newsletter"},{"key":"11_CR8","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1109\/WCSE.2009.756","volume-title":"2nd International Workshop on Computer Science and Engineering (WCSE 2009)","author":"S. Hu","year":"2009","unstructured":"Hu, S., Liang, Y., Ma, L., He, Y.: MSMOTE \u2013 Improving Classification Performance When Training Data is Imbalanced. In: 2nd International Workshop on Computer Science and Engineering (WCSE 2009), vol.\u00a02, pp. 13\u201317. IEEE, Washington, DC (2009)"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Koknar-Tezel, S., Latecki, L.: Improving SVM Classification on Imbalanced Data Sets in Distance Spaces. In: 9th IEEE International Conference on Data Mining (ICDM 2009), pp. 259\u2013267. IEEE, Washington, DC (2009)","DOI":"10.1109\/ICDM.2009.59"},{"issue":"1","key":"11_CR10","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/S0933-3657(01)00077-X","volume":"23","author":"I. Kononenko","year":"2001","unstructured":"Kononenko, I.: Machine Learning for Medical Diagnosis \u2013 History, State of the Art and Perspective. Artificial Intelligence in Medicine\u00a023(1), 89\u2013109 (2001)","journal-title":"Artificial Intelligence in Medicine"},{"issue":"1","key":"11_CR11","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1504\/IJKESDP.2011.039875","volume":"3","author":"H.M. Nguyen","year":"2011","unstructured":"Nguyen, H.M., Cooper, E.W., Kamei, K.: Borderline Over-Sampling for Imbalanced Data Classification. International Journal of Knowledge Engineering and Soft Data Paradigms\u00a03(1), 4\u201321 (2011)","journal-title":"International Journal of Knowledge Engineering and Soft Data Paradigms"},{"issue":"3","key":"11_CR12","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1023\/A:1007601015854","volume":"42","author":"F. Provost","year":"2001","unstructured":"Provost, F., Fawcett, T.: Robust Classification for Imprecise Environments. Machine Learning\u00a042(3), 203\u2013231 (2001)","journal-title":"Machine Learning"},{"issue":"1","key":"11_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/505282.505283","volume":"34","author":"F. Sebastiani","year":"2002","unstructured":"Sebastiani, F.: Machine Learning in Automated Text Categorization. ACM Computing Surveys\u00a034(1), 1\u201347 (2002)","journal-title":"ACM Computing Surveys"},{"issue":"4","key":"11_CR14","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1016\/j.eswa.2004.12.023","volume":"28","author":"S. Tan","year":"2005","unstructured":"Tan, S.: Neighbor-Weighted K-Nearest Neighbor for Unbalanced Text Corpus. Expert Systems with Applications\u00a028(4), 667\u2013671 (2005)","journal-title":"Expert Systems with Applications"},{"key":"11_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V.N. Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer-Verlag New York, Inc., New York (1995)"},{"key":"11_CR16","unstructured":"Vapnik, V.N.: Statistical Learning Theory. Wiley-Interscience (1998)"},{"key":"11_CR17","unstructured":"Veropoulos, K., Campbell, C., Cristianini, N.: Controlling the Sensitivity of Support Vector Machines. In: 16th International Joint Conference on Artificial Intelligence (IJCAI 1999), pp. 55\u201360 (1999)"},{"key":"11_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1007\/978-3-642-10677-4_44","volume-title":"Neural Information Processing","author":"Z.Q. Zeng","year":"2009","unstructured":"Zeng, Z.Q., Gao, J.: Improving SVM Classification with Imbalance Data Set. In: Leung, C.S., Lee, M., Chan, J.H. (eds.) ICONIP 2009, Part I. LNCS, vol.\u00a05863, pp. 389\u2013398. Springer, Heidelberg (2009)"},{"issue":"1","key":"11_CR19","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.eswa.2005.09.052","volume":"30","author":"Y. Zhang","year":"2006","unstructured":"Zhang, Y., Chu, C.H., Chen, Y., Zha, H., Ji, X.: Splice Site Prediction Using Support Vector Machines with a Bayes Kernel. Expert Systems with Applications\u00a030(1), 73\u201381 (2006)","journal-title":"Expert Systems with Applications"},{"key":"11_CR20","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/ICYCS.2008.72","volume-title":"9th International Conference for Young Computer Scientists (ICYCS 2008)","author":"S. Zou","year":"2008","unstructured":"Zou, S., Huang, Y., Wang, Y., Wang, J., Zhou, C.: SVM Learning from Imbalanced Data by GA Sampling for Protein Domain Prediction. In: 9th International Conference for Young Computer Scientists (ICYCS 2008), pp. 982\u2013987. IEEE, Washington, DC (2008)"}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence \u2013 IBERAMIA 2012"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-34654-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,22]],"date-time":"2023-11-22T16:09:05Z","timestamp":1700669345000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-34654-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642346538","9783642346545"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-34654-5_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}