{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T04:38:58Z","timestamp":1764995938019},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642355417"},{"type":"electronic","value":"9783642355424"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-35542-4_11","type":"book-chapter","created":{"date-parts":[[2012,12,14]],"date-time":"2012-12-14T01:39:41Z","timestamp":1355449181000},"page":"122-133","source":"Crossref","is-referenced-by-count":9,"title":["An Efficient Method of Building an Ensemble of Classifiers in Streaming Data"],"prefix":"10.1007","author":[{"given":"Joung Woo","family":"Ryu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehmed M.","family":"Kantardzic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myung-Won","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Ra Khil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"11_CR1","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\u00a0(99) (2011), doi:10.1109\/TKDE.2011.58","DOI":"10.1109\/TKDE.2011.58"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Ryu, J.W., Kantardzic, M., Walgampaya, C.: Ensemble Classifier Based on Misclassified Streaming Data. In: Proc. of the 10th IASTED Int. Conf. on Artificial Intelligence and Applications, Austria, pp. 347\u2013354 (2010)","DOI":"10.2316\/P.2010.674-048"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Gao, J., Fan, W., Han, J.: On Appropriate Assumptions to Mine Data Streams: Analysis and Practice. In: Proc. of the 7th IEEE ICDM, USA, pp. 143\u2013152 (2007)","DOI":"10.1109\/ICDM.2007.96"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Wang, H., Fan, W., Yu, P.S., Han, J.: Mining Concept-Drifting Data Streams using Ensemble Classifiers. In: Proc. of the 9th ACM SIGKDD KDD, USA, pp. 226\u2013235 (2003)","DOI":"10.1145\/956755.956778"},{"key":"11_CR5","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1007\/978-3-540-24775-3_36","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"F. Chu","year":"2004","unstructured":"Chu, F., Zaniolo, C.: Fast and Light Boosting for Adaptive Mining of Data Streams. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol.\u00a03056, pp. 282\u2013292. Springer, Heidelberg (2004)"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Zhang, P., Zhu, X., Shi, Y.: Categorizing and Mining Concept Drifting Data Streams. In: Proc. of the 14th ACM SIGKDD, USA, pp. 812\u2013820 (2008)","DOI":"10.1145\/1401890.1401987"},{"key":"11_CR7","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1007\/978-3-642-01307-2_109","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"P. Zhang","year":"2009","unstructured":"Zhang, P., Zhu, X., Shi, Y., Wu, X.: An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. In: Theeramunkong, T., Kijsirikul, B., Cercone, N., Ho, T.-B. (eds.) PAKDD 2009. LNCS (LNAI), vol.\u00a05476, pp. 1021\u20131029. Springer, Heidelberg (2009)"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Wei, Q., Yang, Z., Junping, Z., Youg, W.: Mining Multi-Label Concept-Drifting Data Streams Using Ensemble Classifiers. In: Proc. of the 6th FSKD, China, pp. 275\u2013279 (2009)","DOI":"10.1109\/FSKD.2009.315"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Masud, M.M., Gao, J., Khan, L., Han, J., Thuraisingham, B.: A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. In: ICDM, Pisa, Italy, pp. 929\u2013934 (2008)","DOI":"10.1109\/ICDM.2008.152"},{"key":"11_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"552","DOI":"10.1007\/978-3-642-04125-9_58","volume-title":"Foundations of Intelligent Systems","author":"C. Woolam","year":"2009","unstructured":"Woolam, C., Masud, M.M., Khan, L.: Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels. In: Rauch, J., Ra\u015b, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. LNCS, vol.\u00a05722, pp. 552\u2013562. Springer, Heidelberg (2009)"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Zhu, X., Zhang, P., Lin, X., Shi, Y.: Active Learning from Data Streams. In: Proceeding of the 7th IEEE International Conference on Data Mining, USA, pp. 757\u2013762 (2007)","DOI":"10.1109\/ICDM.2007.101"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Wang, H., Fan, W., Yu, P.S., Han, J.: Mining Concept-Drifting Data Streams using Ensemble Classifiers. In: Proc. of the 9th ACM SIGKDD, USA, pp. 226\u2013235 (2003)","DOI":"10.1145\/956755.956778"},{"key":"11_CR13","first-page":"1","volume":"7","author":"J. Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical Comparisons of Classifiers over Multiple Data Sets. Journal of Machine Learning Research\u00a07, 1\u201330 (2006)","journal-title":"Journal of Machine Learning Research"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Gama, J., Sebasti\u00e3o, R., Rodrigues, P.P.: Issues in Evaluation of Stream Learning Algorithms. In: Proceeding of the 15th ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, France, pp. 329\u2013338 (2009)","DOI":"10.1145\/1557019.1557060"}],"container-title":["Lecture Notes in Computer Science","Big Data Analytics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-35542-4_11.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T13:19:09Z","timestamp":1620134349000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-35542-4_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642355417","9783642355424"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-35542-4_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}