{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T05:06:19Z","timestamp":1775279179687,"version":"3.50.1"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030047795","type":"print"},{"value":"9783030047801","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-04780-1_24","type":"book-chapter","created":{"date-parts":[[2018,11,21]],"date-time":"2018-11-21T01:15:26Z","timestamp":1542762926000},"page":"348-362","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Oversample Based Large Scale Support Vector Machine for Online Class Imbalance Problem"],"prefix":"10.1007","author":[{"given":"D.","family":"Himaja","sequence":"first","affiliation":[]},{"given":"T.","family":"Maruthi Padmaja","sequence":"additional","affiliation":[]},{"given":"P.","family":"Radha Krishna","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,22]]},"reference":[{"issue":"9","key":"24_CR1","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 Trans. Knowl. Data Eng. 21(9), 1263\u20131284 (2009)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"4","key":"24_CR2","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1142\/S0218001409007326","volume":"23","author":"Y Sun","year":"2009","unstructured":"Sun, Y., Wong, A., Kamel, M.: Classification of imbalanced data. Int. J. Pattern Recognit. Artif. Intell. 23(4), 687\u2013719 (2009)","journal-title":"Int. J. Pattern Recognit. Artif. Intell."},{"issue":"4","key":"24_CR3","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1109\/TSMCC.2011.2161285","volume":"42","author":"M Galar","year":"2012","unstructured":"Galar, M., Fernandez, A., Barrenechea, E., Bustince, H., Herrera, F.: A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42(4), 463\u2013484 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.)"},{"issue":"10","key":"24_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TNNLS.2018.2869650","volume":"29","author":"S Wang","year":"2018","unstructured":"Wang, S., Minku, L.L., Yao, X.: Systematic study of online class imbalance learning with concept drift. IEEE Trans. Neural Netw. Learn. Syst. 29(10), 1\u201320 (2018)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"5","key":"24_CR5","doi-asserted-by":"publisher","first-page":"429","DOI":"10.3233\/IDA-2002-6504","volume":"6","author":"J Nathalie","year":"2002","unstructured":"Nathalie, J., Stephen, S.: The class imbalance problem: a systematic study. Intell. Data Anal. 6(5), 429\u2013449 (2002)","journal-title":"Intell. Data Anal."},{"key":"24_CR6","unstructured":"Wu, G., Chang, E.: Class-boundary alignment for imbalanced dataset Learning. In: ICML 2003, Santa Barbara, California (2003)"},{"key":"24_CR7","first-page":"1579","volume":"6","author":"A Bordes","year":"2005","unstructured":"Bordes, A., Ertekin, S., Weston, J., Bottou, L.: Fast kernel classifiers with online and active learning. J. Mach. Learn. Res. 6, 1579\u20131619 (2005)","journal-title":"J. Mach. Learn. Res."},{"key":"24_CR8","doi-asserted-by":"publisher","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., Kegelmeyer, W.P.: SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"24_CR9","unstructured":"Morik, K., Brockhausen, P., Joachims, T.: Combining statistical learning with a knowledge-based approach-a case study in intensive care monitoring. In: ICML (1999)"},{"key":"24_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/11893257_3","volume-title":"Neural Information Processing","author":"H Lee","year":"2006","unstructured":"Lee, H., Cho, S.: The novelty detection approach for different degrees of class imbalance. In: King, I., Wang, J., Chan, L.-W., Wang, D.L. (eds.) ICONIP 2006. LNCS, vol. 4233, pp. 21\u201330. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11893257_3"},{"key":"24_CR11","first-page":"1356","volume":"275","author":"S Wang","year":"2014","unstructured":"Wang, S., Minku, L.L., Yao, X.: Resampling-based ensemble methods for online class imbalance learning. IEEE Trans. Knowl. Data Eng. 275, 1356\u20131368 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"24_CR12","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/s12530-013-9076-7","volume":"42","author":"A Ghazikhani","year":"2013","unstructured":"Ghazikhani, A., Monsefi, R., Yazdi, H.S.: Recursive least square perceptron model for non-stationary and imbalanced data streams classification. Evol. Syst. 42, 119\u2013131 (2013)","journal-title":"Evol. Syst."},{"key":"24_CR13","first-page":"51","volume":"51","author":"A Ghazikhani","year":"2013","unstructured":"Ghazikhani, A., Monsefi, R., Yazdi, H.S.: Online neural network model for non-stationary and imbalanced data stream. Int. J. Mach. Learn. Cybern. 51, 51\u201362 (2013)","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"24_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"680","DOI":"10.1007\/978-3-319-26532-2_75","volume-title":"Neural Information Processing","author":"S Barua","year":"2015","unstructured":"Barua, S., Islam, M.M., Murase, K.: GOS-IL: a generalized over-sampling based online imbalanced learning framework. In: Arik, S., Huang, T., Lai, W.K., Liu, Q. (eds.) ICONIP 2015. LNCS, vol. 9489, pp. 680\u2013687. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-26532-2_75"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Yan, Y., Yang, T., Chen, J.: A framework of online learning with imbalanced streaming data. In: Sing, S.P., Markovitch, S. (eds.) Conference on Artificial Intelligence 2017, San Francisco, pp. 2817\u20132823. AAAI Press (2017)","DOI":"10.1609\/aaai.v31i1.10837"},{"issue":"1","key":"24_CR16","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1109\/TSMCB.2008.2002909","volume":"39","author":"Y Tang","year":"2009","unstructured":"Tang, Y., Zhang, Q.-Y., Chawla, N.V., Krasser, S.: SVMs modeling for highly imbalanced classification. IEEE Trans. Syst. Man Cybern. Part B 39(1), 281\u2013288 (2009)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B"},{"issue":"4","key":"24_CR17","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1002\/widm.1132","volume":"4","author":"J Kremer","year":"2014","unstructured":"Kremer, J., Steenstrup Pedersen, K., Igel, C.: Active Learning with support vector machines. Wires Data Min. Knowl. Discov. 4(4), 313\u2013326 (2014)","journal-title":"Wires Data Min. Knowl. Discov."},{"key":"24_CR18","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.ins.2018.04.063","volume":"456","author":"A Calma","year":"2018","unstructured":"Calma, A., Reitmaier, T., Sick, B.: Semi-supervised active learning for support vector machines: a novel approach that exploits structure information in data. Inf. Sci. 456, 3\u201333 (2018)","journal-title":"Inf. Sci."},{"key":"24_CR19","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1022627411411","volume":"203","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 203, 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"24_CR20","unstructured":"Platt, J.C.: Sequential minimal optimization: a fast algorithm for training support vector machines. A technical report MSR-TR-98-14 (1998)"},{"key":"24_CR21","doi-asserted-by":"publisher","unstructured":"Ertekin, S., Huang, J., Lee Giles, C.: Active learning class imbalance Problem. In: Kraaij, W., de Vries, AP., Clarke, L.A.C., Fuhr, N., Kando, N. (eds.) Conference on Research and Development in Information Retrieval 2007, Netherlands, pp. 823\u2013824 (2007). https:\/\/doi.org\/10.1145\/1277741","DOI":"10.1145\/1277741"},{"key":"24_CR22","doi-asserted-by":"publisher","first-page":"125","DOI":"10.2307\/3318616","volume":"51","author":"AP Dawid","year":"1999","unstructured":"Dawid, A.P., Vovk, V.G.: Prequential probability: principles and properties. Bernoulli 51, 125\u2013162 (1999)","journal-title":"Bernoulli"},{"key":"24_CR23","doi-asserted-by":"publisher","first-page":"730","DOI":"10.1109\/TKDE.2009.156","volume":"225","author":"L Minku","year":"2010","unstructured":"Minku, L., White, A., Yao, X.: The impact of diversity on online ensemble learning in the presence of concept drift. IEEE Trans. Knowl. Data Eng. 225, 730\u2013742 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"24_CR24","unstructured":"UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml\/. Accessed 26 June 2018"},{"key":"24_CR25","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1109\/TKDE.2012.232","volume":"262","author":"S Barua","year":"2014","unstructured":"Barua, S., Islam, M.M., Yao, X., Murase, K.: MWMOTE-majority weighted minority oversampling technique for imbalanced data set learning. IEEE Trans. Knowl. Data Eng. 262, 405\u2013425 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."}],"container-title":["Lecture Notes in Computer Science","Big Data Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-04780-1_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T04:24:23Z","timestamp":1775276663000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-04780-1_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030047795","9783030047801"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-04780-1_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"22 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Big Data Analytics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Warangal","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bigda2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bda2018.nitw.ac.in\/bda2018\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}