{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T06:16:39Z","timestamp":1778825799088,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642208461","type":"print"},{"value":"9783642208478","type":"electronic"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-20847-8_28","type":"book-chapter","created":{"date-parts":[[2011,5,27]],"date-time":"2011-05-27T09:32:11Z","timestamp":1306488731000},"page":"333-344","source":"Crossref","is-referenced-by-count":17,"title":["Sample Subset Optimization for Classifying Imbalanced Biological Data"],"prefix":"10.1007","author":[{"given":"Pengyi","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zili","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing B.","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albert Y.","family":"Zomaya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"6","key":"28_CR1","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1093\/bib\/bbm011","volume":"8","author":"I.M. Meyer","year":"2007","unstructured":"Meyer, I.M.: A practical guide to the art of RNA gene prediction.. Briefings in bioinformatics\u00a08(6), 396\u2013414 (2007)","journal-title":"Briefings in bioinformatics"},{"issue":"5","key":"28_CR2","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1093\/bib\/bbp027","volume":"10","author":"J. Zeng","year":"2009","unstructured":"Zeng, J., Zhu, S., Yan, H.: Towards accurate human promoter recognition: a review of currently used sequence features and classification methods. Briefings in Bioinformatics\u00a010(5), 498\u2013508 (2009)","journal-title":"Briefings in Bioinformatics"},{"issue":"suppl. 10","key":"28_CR3","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1186\/1471-2105-8-S10-S7","volume":"8","author":"S. Sonnenburg","year":"2007","unstructured":"Sonnenburg, S., Schweikert, G., Philips, P., Behr, J., R\u00e4tsch, G.: Accurate splice site prediction using support vector machines. BMC Bioinformatics\u00a08(suppl. 10), 7 (2007)","journal-title":"BMC Bioinformatics"},{"issue":"8","key":"28_CR4","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1093\/bioinformatics\/17.8.721","volume":"17","author":"S. Hua","year":"2001","unstructured":"Hua, S., Sun, Z.: Support vector machine approach for protein subcellular localization prediction. Bioinformatics\u00a017(8), 721\u2013728 (2001)","journal-title":"Bioinformatics"},{"key":"28_CR5","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":"28_CR6","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/11731139_15","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"Y. Liu","year":"2006","unstructured":"Liu, Y., An, A., Huang, X.: Boosting prediction accuracy on imbalanced datasets with SVM ensembles. In: Ng, W.-K., Kitsuregawa, M., Li, J., Chang, K. (eds.) PAKDD 2006. LNCS (LNAI), vol.\u00a03918, pp. 107\u2013118. Springer, Heidelberg (2006)"},{"issue":"5","key":"28_CR7","doi-asserted-by":"crossref","first-page":"429","DOI":"10.3233\/IDA-2002-6504","volume":"6","author":"N. Japkowicz","year":"2002","unstructured":"Japkowicz, N., Stephen, S.: The class imbalance problem: A systematic study. Intelligent Data Analysis\u00a06(5), 429\u2013449 (2002)","journal-title":"Intelligent Data Analysis"},{"key":"28_CR8","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1109\/ICMLA.2009.126","volume-title":"2009 International Conference on Machine Learning and Applications","author":"R. Batuwita","year":"2009","unstructured":"Batuwita, R., Palade, V.: A New Performance Measure for Class Imbalance Learning. Application to Bioinformatics Problems. In: 2009 International Conference on Machine Learning and Applications, pp. 545\u2013550. IEEE, Los Alamitos (2009)"},{"key":"28_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1007730.1007733","volume":"6","author":"N. Chawla","year":"2004","unstructured":"Chawla, N., Japkowicz, N., Kotcz, A.: Editorial: special issue on learning from imbalanced data sets. ACM SIGKDD Explorations Newsletter\u00a06, 1\u20136 (2004)","journal-title":"ACM SIGKDD Explorations Newsletter"},{"issue":"1","key":"28_CR10","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(1), 321\u2013357 (2002)","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"1","key":"28_CR11","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. ACM SIGKDD Explorations Newsletter\u00a06(1), 7\u201319 (2004)","journal-title":"ACM SIGKDD Explorations Newsletter"},{"issue":"5-6","key":"28_CR12","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1002\/sam.10061","volume":"2","author":"S. Hido","year":"2009","unstructured":"Hido, S., Kashima, H., Takahashi, Y.: Roughly balanced bagging for imbalanced data. Statistical Analysis and Data Mining\u00a02(5-6), 412\u2013426 (2009)","journal-title":"Statistical Analysis and Data Mining"},{"issue":"2","key":"28_CR13","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\u00a024(2), 123\u2013140 (1996)","journal-title":"Machine Learning"},{"issue":"5","key":"28_CR14","doi-asserted-by":"publisher","first-page":"1651","DOI":"10.1214\/aos\/1024691352","volume":"26","author":"R.E. Schapire","year":"1998","unstructured":"Schapire, R.E., Freund, Y., Bartlett, P., Lee, W.S.: Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics\u00a026(5), 1651\u20131686 (1998)","journal-title":"The Annals of Statistics"},{"issue":"9","key":"28_CR15","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1016\/S0031-3203(99)00138-7","volume":"33","author":"D. Tax","year":"2000","unstructured":"Tax, D., Van Breukelen, M., Duin, R.: Combining multiple classifiers by averaging or by multiplying? Pattern Recognition\u00a033(9), 1475\u20131485 (2000)","journal-title":"Pattern Recognition"},{"issue":"5","key":"28_CR16","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1109\/3468.618255","volume":"27","author":"L. Lam","year":"1997","unstructured":"Lam, L., Suen, S.Y.: Application of majority voting to pattern recognition: an analysis of its behavior and performance. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans\u00a027(5), 553\u2013568 (1997)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans"},{"issue":"1","key":"28_CR17","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s11721-007-0002-0","volume":"1","author":"R. Poli","year":"2007","unstructured":"Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. Swarm Intelligence\u00a01(1), 33\u201357 (2007)","journal-title":"Swarm Intelligence"},{"key":"28_CR18","doi-asserted-by":"crossref","unstructured":"Ben-Hur, A., Ong, C.S., Sonnenburg, S., Sch\u00f6lkopf, B., R\u00e4tsch, G.: Support vector machines and kernels for computational biology. PLoS Computational Biology\u00a04(10) (2008)","DOI":"10.1371\/journal.pcbi.1000173"},{"key":"28_CR19","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1145\/1390156.1390208","volume-title":"Proceedings of the 25th International Conference on Machine Learning","author":"C. Hsieh","year":"2008","unstructured":"Hsieh, C., Chang, K., Lin, C., Keerthi, S., Sundararajan, S.: A dual coordinate descent method for large-scale linear SVM. In: Proceedings of the 25th International Conference on Machine Learning, pp. 408\u2013415. ACM, New York (2008)"},{"issue":"8","key":"28_CR20","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":"8","key":"28_CR21","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1093\/bioinformatics\/btp107","volume":"25","author":"R. Batuwita","year":"2009","unstructured":"Batuwita, R., Palade, V.: microPred: effective classification of pre-miRNAs for human miRNA gene prediction. Bioinformatics\u00a025(8), 989\u2013995 (2009)","journal-title":"Bioinformatics"},{"key":"28_CR22","first-page":"109","volume-title":"Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology","author":"P. Horton","year":"1996","unstructured":"Horton, P., Nakai, K.: A probabilistic classification system for predicting the cellular localization sites of proteins. In: Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology, pp. 109\u2013115. AAAI Press, Menlo Park (1996)"},{"issue":"5","key":"28_CR23","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1093\/bioinformatics\/btl670","volume":"23","author":"T.S. Rani","year":"2007","unstructured":"Rani, T.S., Bhavani, S.D., Bapi, R.S.: Analysis of E. coli promoter recognition problem in dinucleotide feature space. Bioinformatics\u00a023(5), 582\u2013588 (2007)","journal-title":"Bioinformatics"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-20847-8_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,24]],"date-time":"2021-11-24T07:46:02Z","timestamp":1637739962000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-20847-8_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642208461","9783642208478"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-20847-8_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011]]}}}