{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T22:50:21Z","timestamp":1725835821033},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319261867"},{"type":"electronic","value":"9783319261874"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-26187-4_6","type":"book-chapter","created":{"date-parts":[[2015,10,26]],"date-time":"2015-10-26T09:05:24Z","timestamp":1445850324000},"page":"78-92","source":"Crossref","is-referenced-by-count":7,"title":["Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming Data"],"prefix":"10.1007","author":[{"given":"Ye","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanchun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,12,18]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/1-84628-103-2_1","volume-title":"Applications and Innovations in Intelligent Systems XII","author":"SJ Delany","year":"2005","unstructured":"Delany, S.J., Cunningham, P., Tsymbal, A., Coyle, L.: A case-based technique for tracking concept drift in spam filtering. In: Macintosh, A., Ellis, R., Allen, T. (eds.) Applications and Innovations in Intelligent Systems XII, pp. 3\u201316. Springer, London (2005)"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Wang, H., Fan, W., Yu, P.S., Han, J.: Mining concept-drifting data streams using ensemble classifiers. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 226\u2013235. ACM, New York, NY, USA (2003)","DOI":"10.1145\/956750.956778"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Parveen, P., Weger, Z.R., Thuraisingham, B., Hamlen, K., Khan, L.: Supervised learning for insider threat detection using stream mining. In: Proceedings of the 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence, pp. 1032\u20131039. IEEE Computer Society, Washington, DC, USA (2011)","DOI":"10.1109\/ICTAI.2011.176"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Wang, X., Jia, Y., Chen, R., Fan, H., Zhou, B.: Improving text categorization with semantic knowledge in Wikipedia. IEICE Trans. Inf. Syst. E96-D, 2786\u20132794 (2013)","DOI":"10.1587\/transinf.E96.D.2786"},{"key":"6_CR5","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/s13748-011-0008-0","volume":"1","author":"TR Hoens","year":"2012","unstructured":"Hoens, T.R., Polikar, R., Chawla, N.V.: Learning from streaming data with concept drift and imbalance: an overview. Prog. Artif. Intell. 1, 89\u2013101 (2012)","journal-title":"Prog. Artif. Intell."},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Shen, X., Boutell, M., Luo, J., Brown, C.: Multilabel machine learning and its application to semantic scene classification. Presented at the storage and retrieval methods and applications for multimedia 2004, 1 December 2003","DOI":"10.1117\/12.523428"},{"key":"6_CR7","first-page":"1","volume":"2014","author":"W Liu","year":"2014","unstructured":"Liu, W., Wang, L., Yi, M.: Simple-random-sampling-based multiclass text classification algorithm. Sci. World J. 2014, 1\u20137 (2014)","journal-title":"Sci. World J."},{"key":"6_CR8","first-page":"101","volume":"5","author":"R Rifkin","year":"2004","unstructured":"Rifkin, R., Klautau, A.: In defense of one-vs-all classification. J. Mach. Learn. Res. 5, 101\u2013141 (2004)","journal-title":"J. Mach. Learn. Res."},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Domingos, P., Hulten, G.: Mining high-speed data streams. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 71\u201380. ACM, New York, NY, USA (2000)","DOI":"10.1145\/347090.347107"},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1016\/j.compbiomed.2010.06.007","volume":"40","author":"J Shi","year":"2010","unstructured":"Shi, J., Luo, Z.: Nonlinear dimensionality reduction of gene expression data for visualization and clustering analysis of cancer tissue samples. Comput. Biol. Med. 40, 723\u2013732 (2010)","journal-title":"Comput. Biol. Med."},{"key":"6_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/978-3-642-14640-4_5","volume-title":"New Frontiers in Applied Data Mining","author":"RN Lichtenwalter","year":"2010","unstructured":"Lichtenwalter, R.N., Chawla, N.V.: Adaptive methods for classification in arbitrarily imbalanced and drifting data streams. In: Theeramunkong, T., Nattee, C., Adeodato, P.J.L., Chawla, N., Christen, P., Lenca, P., Poon, J., Williams, G. (eds.) New Frontiers in Applied Data Mining. LNCS, vol. 5669, pp. 53\u201375. Springer, Heidelberg (2010)"},{"key":"6_CR12","unstructured":"Xioufis, E.S., Spiliopoulou, M., Tsoumakas, G., Vlahavas, I.: Dealing with concept drift and class imbalance in multi-label stream classification. In: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, vol. 2, pp. 1583\u20131588. AAAI Press, Barcelona, Catalonia, Spain (2011)"},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Wang, S., Minku, L.L., Yao, X.: A learning framework for online class imbalance learning. In: 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL), pp. 36\u201345 (2013)","DOI":"10.1109\/CIEL.2013.6613138"},{"key":"6_CR14","doi-asserted-by":"publisher","first-page":"1340001","DOI":"10.1142\/S1469026813400014","volume":"12","author":"S Wang","year":"2013","unstructured":"Wang, S., Minku, L.L., Yao, X.: Online class imbalance learning and its applications in fault detection. Int. J. Comput. Intell. Appl. 12, 1340001 (2013)","journal-title":"Int. J. Comput. Intell. Appl."},{"key":"6_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/978-3-319-06605-9_34","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"D Zhang","year":"2014","unstructured":"Zhang, D., Shen, H., Hui, T., Li, Y., Wu, J., Sang, Y.: A selectively re-train approach based on clustering to classify concept-drifting data streams with skewed distribution. In: Tseng, V.S., Ho, T.B., Zhou, Z.-H., Chen, A.L.P., Kao, H.-Y. (eds.) PAKDD 2014, Part II. LNCS, vol. 8444, pp. 413\u2013424. Springer, Heidelberg (2014)"},{"key":"6_CR16","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/s12530-010-9021-y","volume":"2","author":"S Chen","year":"2010","unstructured":"Chen, S., He, H.: Towards incremental learning of nonstationary imbalanced data stream: a multiple selectively recursive approach. Evol. Syst. 2, 35\u201350 (2010)","journal-title":"Evol. Syst."},{"key":"6_CR17","first-page":"321","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. Int. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Int. Res."}],"container-title":["Lecture Notes in Computer Science","Web Information Systems Engineering \u2013 WISE 2015"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-26187-4_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T05:32:28Z","timestamp":1559280748000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-26187-4_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319261867","9783319261874"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-26187-4_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}