{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:50:23Z","timestamp":1743126623680,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319488288"},{"type":"electronic","value":"9783319488295"}],"license":[{"start":{"date-parts":[[2016,10,8]],"date-time":"2016-10-08T00:00:00Z","timestamp":1475884800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-48829-5_23","type":"book-chapter","created":{"date-parts":[[2016,10,7]],"date-time":"2016-10-07T11:03:04Z","timestamp":1475838184000},"page":"237-246","source":"Crossref","is-referenced-by-count":0,"title":["A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift"],"prefix":"10.1007","author":[{"given":"Jesus L.","family":"Lobo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier","family":"Del Ser","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miren Nekane","family":"Bilbao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ibai","family":"La\u00f1a","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Salcedo-Sanz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,10,8]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Ditzler, G., Roveri, M., Alippi, C., Polikar, R.: Learning in Nonstationary Environments: A Survey. IEEE Comp. Int. Magazine, 10(4), 12\u201325 (2015)","DOI":"10.1109\/MCI.2015.2471196"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"\u017dliobait\u0117, I., Pechenizkiy, M., Gama, J.: An Overview of Concept Drift Applications. Big Data Analysis: New Algorithms for a New Society, 91\u2013114 (2016)","DOI":"10.1007\/978-3-319-26989-4_4"},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Hoens, T. R., Polikar, R., Chawla, N. V.: Learning from Streaming Data with Concept Drift and Imbalance: an Overview. Progress in Artificial Intelligence, 1(1), 89\u2013101 (2012)","DOI":"10.1007\/s13748-011-0008-0"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Grossberg, S.: Nonlinear Neural Networks: Principles, Mechanisms, and Architectures. Neural Networks, 1(1), 17\u201361 (1988)","DOI":"10.1016\/0893-6080(88)90021-4"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Nick Street, W., Kim, Y.: A Streaming Ensemble Algorithm (SEA) for Large-Scale Classification. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 377\u2013382 (2001)","DOI":"10.1145\/502512.502568"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Schlimmer, J. C., Granger, R. H.: Incremental Learning from Noisy Data. Machine Learning, 1(3), 317\u2013354 (1986)","DOI":"10.1007\/BF00116895"},{"key":"23_CR7","unstructured":"Tsymbal, A.: The Problem of Concept Drift: Definitions and Related Work. Computer Science Department, Trinity College Dublin, 106:2 (2004)"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Heywood, M. I.: Evolutionary Model Building under Streaming Data for Classification Tasks: Opportunities and Challenges. Genetic Programming and Evolvable Machines, 16(3), 283\u2013326 (2015)","DOI":"10.1007\/s10710-014-9236-y"},{"key":"23_CR9","doi-asserted-by":"crossref","unstructured":"Gama, J., \u017dliobait\u0117, I., Bifet, A., Pechenizkiy, M., Bouchachia, A.: A Survey on Concept Drift Adaptation. ACM Computing Surveys, 46(4), 44 (2014)","DOI":"10.1145\/2523813"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Elwell, R., Polikar, R.: Incremental Learning of Concept Drift in Nonstationary Environments. IEEE Transactions on Neural Networks, 22(10), 1517\u20131531 (2011)","DOI":"10.1109\/TNN.2011.2160459"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Ditzler, G., Polikar, R.: An Ensemble based Incremental Learning Framework for Concept Drift and Class Imbalance. International Joint Conference on Neural Networks, 1\u20138 (2010)","DOI":"10.1109\/IJCNN.2010.5596764"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Ditzler, G., Polikar, R.: Incremental Learning of Concept Drift from Streaming Imbalanced Data. IEEE Transactions on Knowledge and Data Engineering, 25(10), 2283\u20132301 (2013)","DOI":"10.1109\/TKDE.2012.136"},{"key":"23_CR13","doi-asserted-by":"crossref","unstructured":"Minku, L. L., Yao, X.: DDD: A New Ensemble Approach for Dealing with Concept Drift. IEEE Transactions on Knowledge and Data Engineering, 24(4), 619\u2013633 (2012)","DOI":"10.1109\/TKDE.2011.58"},{"key":"23_CR14","doi-asserted-by":"crossref","unstructured":"Mirza, B., Lin, Z., Liu, N.: Ensemble of Subset Online Sequential Extreme Learning Machine for Class Imbalance and Concept Drift. Neurocomputing, 149(Part A), 316\u2013329 (2015)","DOI":"10.1016\/j.neucom.2014.03.075"},{"key":"23_CR15","doi-asserted-by":"crossref","unstructured":"De La Torre, M., Granger, E., Sabourin, R., Gorodnichy, D. O.: Adaptive Skew-sensitive Ensembles for Face Recognition in Video Surveillance. Pattern Recognition, 48(11), 3385\u20133406 (2015)","DOI":"10.1016\/j.patcog.2015.05.008"},{"key":"23_CR16","doi-asserted-by":"crossref","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. Advances in Knowledge Discovery and Data Mining, 413\u2013424 (2014)","DOI":"10.1007\/978-3-319-06605-9_34"},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Wang, S., Minku, L. L., Ghezzi, D., Caltabiano, D., Tino, P., Yao, X.: Concept Drift Detection for Online Class Imbalance Learning. International Joint Conference on Neural Networks, 1\u201310 (2013)","DOI":"10.1109\/IJCNN.2013.6706768"},{"key":"23_CR18","doi-asserted-by":"crossref","unstructured":"Chawla, N. V., Bowyer, K. W., Hall, L. O., Kegelmeyer, W. P.: SMOTE: Synthetic Minority Over-sampling Technique. Journal of Artificial Intelligence Research, 16, 321\u2013357 (2002)","DOI":"10.1613\/jair.953"},{"key":"23_CR19","doi-asserted-by":"crossref","unstructured":"He, H., Chen, S.: Towards Incremental Learning of Nonstationary Imbalanced Data Stream: A Multiple Selectively Recursive Approach. Evolving Systems, 2(1), 35\u201350 (2011)","DOI":"10.1007\/s12530-010-9021-y"},{"key":"23_CR20","doi-asserted-by":"crossref","unstructured":"Ditzler, G., Polikar, R., Chawla, N. V.: An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance. International Conference on Pattern Recognition, 2997\u20133000 (2010)","DOI":"10.1109\/ICPR.2010.734"},{"key":"23_CR21","unstructured":"Ester, M., Kriegel, H. P., Sander, J., Xu, X.: A Density-based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. KDD, 96(34), 226\u2013231 (1996)"}],"container-title":["Studies in Computational Intelligence","Intelligent Distributed Computing X"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48829-5_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T06:47:24Z","timestamp":1568443644000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48829-5_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,8]]},"ISBN":["9783319488288","9783319488295"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48829-5_23","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2016,10,8]]}}}