{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T23:33:33Z","timestamp":1783121613631,"version":"3.54.6"},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642013065","type":"print"},{"value":"9783642013072","type":"electronic"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"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":[[2009]]},"DOI":"10.1007\/978-3-642-01307-2_43","type":"book-chapter","created":{"date-parts":[[2009,4,18]],"date-time":"2009-04-18T09:47:58Z","timestamp":1240048078000},"page":"475-482","source":"Crossref","is-referenced-by-count":680,"title":["Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem"],"prefix":"10.1007","author":[{"given":"Chumphol","family":"Bunkhumpornpat","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krung","family":"Sinapiromsaran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chidchanok","family":"Lursinsap","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"43_CR1","unstructured":"Blake, C., Merz, C.: UCI Repository of Machine Learning Databases. Department of Information and Computer Sciences, University of California, Irvine, CA, USA (1998), \n                    \n                      http:\/\/archive.ics.uci.edu\/ml\/"},{"issue":"6","key":"43_CR2","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","volume":"30","author":"A. Bradley","year":"1997","unstructured":"Bradley, A.: The Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms. Pattern Recognition\u00a030(6), 1145\u20131159 (1997)","journal-title":"Pattern Recognition"},{"issue":"1","key":"43_CR3","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1002\/(SICI)1097-4571(199401)45:1<12::AID-ASI2>3.0.CO;2-L","volume":"45","author":"M. Buckland","year":"1994","unstructured":"Buckland, M., Gey, F.: The Relationship between Recall and Precision. Journal of the American Society for Information Science\u00a045(1), 12\u201319 (1994)","journal-title":"Journal of the American Society for Information Science"},{"key":"43_CR4","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"N. Chawla","year":"2002","unstructured":"Chawla, N., Bowyer, K., Hall, L., Kegelmeyer, W.: SMOTE: Synthetic Minority Over-Sampling Technique. Journal of Artificial Intelligence Research\u00a016, 321\u2013357 (2002)","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"1","key":"43_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1007730.1007733","volume":"6","author":"N. Chawla","year":"2004","unstructured":"Chawla, N., Japkowicz, N., Kolcz, A.: Editorial: Special Issue on Learning from Imbalanced Data Sets. SIGKDD Explorations\u00a06(1), 1\u20136 (2004)","journal-title":"SIGKDD Explorations"},{"key":"43_CR6","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511801389","volume-title":"An Introduction to Support Vector Machines and Other Kernel-based Learning Methods","author":"N. Cristianini","year":"2000","unstructured":"Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, Cambridge (2000)"},{"key":"43_CR7","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1145\/312129.312220","volume-title":"The 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 1999)","author":"P. Domingos","year":"1999","unstructured":"Domingos, P.: Metacost: A General Method for Making Classifiers Cost-sensitive. In: The 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 1999), pp. 155\u2013164. ACM Press, San Diego (1999)"},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"Fan, W., Miller, M., Stolfo, S., Lee, W., Chan, P.: Using Artificial Anomalies to Detect Unknown and Known Network Intrusions. In: The 1st IEEE International Conference on Data Mining (ICDM 2001), San Jose, CA, USA, pp. 123\u2013130 (2001)","DOI":"10.1109\/ICDM.2001.989509"},{"key":"43_CR9","unstructured":"Fan, W., Salvatore, S., Zhang, J., Chan, P.: AdaCost: misclassification cost-sensitive boosting. In: The 16th International Conference on Machine Learning (ICML 1999), Bled, Slovenia, pp. 97\u2013105 (1999)"},{"key":"43_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1007\/11538059_91","volume-title":"Advances in Intelligent Computing","author":"H. Han","year":"2005","unstructured":"Han, H., Wang, W., Mao, B.: Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning. In: Huang, D.-S., Zhang, X.-P., Huang, G.-B. (eds.) ICIC 2005. LNCS, vol.\u00a03644, pp. 878\u2013887. Springer, Heidelberg (2005)"},{"key":"43_CR11","unstructured":"Japkowicz, N.: The Class Imbalance Problem: Significance and Strategies. In: the 2000 International Conference on Artificial Intelligence (IC-AI 2000), Las Vegas, NV, USA, pp. 111\u2013117 (2000)"},{"key":"43_CR12","first-page":"279","volume-title":"Data mining: Concepts and Techniques","author":"M. Kamber","year":"2000","unstructured":"Kamber, M., Han, J.: Data mining: Concepts and Techniques, 2nd edn., pp. 279\u2013327. Morgan-Kaufman, NY, USA (2000)","edition":"2"},{"key":"43_CR13","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1023\/A:1007452223027","volume":"30","author":"M. Kubat","year":"1998","unstructured":"Kubat, M., Holte, R., Matwin, S.: Machine Learning for the Detection of Oil Spills in Satellite Radar Images. Machine Learning\u00a030, 195\u2013215 (1998)","journal-title":"Machine Learning"},{"key":"43_CR14","first-page":"179","volume-title":"The 14th International Conference on Machine Learning (ICML 1997)","author":"M. Kubat","year":"1997","unstructured":"Kubat, M., Matwin, S.: Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. In: The 14th International Conference on Machine Learning (ICML 1997), pp. 179\u2013186. Morgan Kaufmann, Nashville (1997)"},{"key":"43_CR15","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/B978-1-55860-335-6.50026-X","volume-title":"The 11th International Conference on Machine Learning (ICML 1994)","author":"D. Lewis","year":"1994","unstructured":"Lewis, D., Catlett, J.: Uncertainty Sampling for Supervised Learning. In: The 11th International Conference on Machine Learning (ICML 1994), pp. 148\u2013156. Morgan Kaufmann, New Brunswick (1994)"},{"key":"43_CR16","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/B978-1-55860-335-6.50034-9","volume-title":"The 11th International Conference on Machine Learning (ICML 1994)","author":"M. Pazzani","year":"1994","unstructured":"Pazzani, M., Merz, C., Murphy, P., Ali, K., Hume, T., Brunk, C.: Reducing Misclassification Costs. In: The 11th International Conference on Machine Learning (ICML 1994), pp. 217\u2013225. Morgan Kaufmann, San Francisco (1994)"},{"key":"43_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1007\/978-3-540-24694-7_32","volume-title":"MICAI 2004: Advances in Artificial Intelligence","author":"R. Prati","year":"2004","unstructured":"Prati, R., Batista, G., Monard, M.: Class Imbalances versus Class Overlapping: an Analysis of a Learning System Behavior. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds.) MICAI 2004. LNCS (LNAI), vol.\u00a02972, pp. 312\u2013321. Springer, Heidelberg (2004)"},{"key":"43_CR18","volume-title":"C4.5: Programs for Machine Learning","author":"J. Quinlan","year":"1992","unstructured":"Quinlan, J.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1992)"},{"key":"43_CR19","first-page":"826","volume":"35","author":"I. Tetko","year":"1995","unstructured":"Tetko, I., Livingstone, D., Luik, A.: Neural network studies. 1. Comparison of Overfitting and Overtraining. Chemical Information and Computer Sciences\u00a035, 826\u2013833 (1995)","journal-title":"1. Comparison of Overfitting and Overtraining. Chemical Information and Computer Sciences"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-01307-2_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,7]],"date-time":"2019-03-07T14:59:08Z","timestamp":1551970748000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-01307-2_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642013065","9783642013072"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-01307-2_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009]]}}}