{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T05:38:19Z","timestamp":1725601099664},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642235436"},{"type":"electronic","value":"9783642235443"}],"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\/978-3-642-23544-3_34","type":"book-chapter","created":{"date-parts":[[2011,8,17]],"date-time":"2011-08-17T08:35:33Z","timestamp":1313570133000},"page":"445-459","source":"Crossref","is-referenced-by-count":3,"title":["Concurrent Semi-supervised Learning of Data Streams"],"prefix":"10.1007","author":[{"given":"Hai-Long","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wee-Keong","family":"Ng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yew-Kwong","family":"Woon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duc H.","family":"Tran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"34_CR1","series-title":"Advances in Database Systems","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/978-0-387-47534-9_2","volume-title":"On Clustering Massive Data Streams: A Summarization Paradigm","author":"C. Aggarwal","year":"2007","unstructured":"Aggarwal, C., Han, J., Wang, J., Yu, P.: On Clustering Massive Data Streams: A Summarization Paradigm. Advances in Database Systems, vol.\u00a031, pp. 9\u201338. Springer, US (2007)"},{"key":"34_CR2","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Han, J., Wang, J., Yu, P.S.: A framework for clustering evolving data streams. In: VLDB, vol. 29, pp. 81\u201392. VLDB Endowment (2003)","DOI":"10.1016\/B978-012722442-8\/50016-1"},{"issue":"5","key":"34_CR3","first-page":"577","volume":"18","author":"C.C. Aggarwal","year":"2006","unstructured":"Aggarwal, C.C., Han, J., Wang, J., Yu, P.S.: A framework for on-demand classification of evolving data streams. IEEE TKDE\u00a018(5), 577\u2013589 (2006)","journal-title":"IEEE TKDE"},{"issue":"4","key":"34_CR4","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1007\/s10791-008-9066-8","volume":"12","author":"E. Amigo","year":"2009","unstructured":"Amigo, E., Gonzalo, J., Artiles, J.: A comparison of extrinsic clustering evaluation metrics based on formal constraints. Inf. Retr.\u00a012(4), 461\u2013486 (2009)","journal-title":"Inf. Retr."},{"key":"34_CR5","first-page":"59","volume-title":"ACM SIGKDD","author":"S. Basu","year":"2004","unstructured":"Basu, S., Bilenko, M., Mooney, R.J.: A probabilistic framework for semi-supervised clustering. In: ACM SIGKDD, pp. 59\u201368. ACM, New York (2004)"},{"key":"34_CR6","first-page":"1601","volume":"11","author":"A. Bifet","year":"2010","unstructured":"Bifet, A., Holmes, G., Kirkby, R.: Moa: Massive online analysis. The Journal of Machine Learning Research\u00a011, 1601\u20131604 (2010)","journal-title":"The Journal of Machine Learning Research"},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Cao, F., Ester, M., Qian, W., Zhou, A.: Density-based clustering over an evolving data stream with noise. In: SDM, pp. 328\u2013339 (2006)","DOI":"10.1137\/1.9781611972764.29"},{"key":"34_CR8","first-page":"133","volume-title":"ACM SIGKDD","author":"Y. Chen","year":"2007","unstructured":"Chen, Y., Tu, L.: Density-based clustering for real-time stream data. In: ACM SIGKDD, pp. 133\u2013142. ACM, New York (2007)"},{"key":"34_CR9","first-page":"226","volume-title":"KDD","author":"M. Ester","year":"1996","unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, pp. 226\u2013231. AAAI Press, Menlo Park (1996)"},{"key":"34_CR10","first-page":"97","volume-title":"ACM SIGKDD","author":"G. Hulten","year":"2001","unstructured":"Hulten, G., Spencer, L., Domingos, P.: Mining time-changing data streams. In: ACM SIGKDD, pp. 97\u2013106. ACM, New York (2001)"},{"issue":"3","key":"34_CR11","doi-asserted-by":"crossref","first-page":"281","DOI":"10.3233\/IDA-2004-8305","volume":"8","author":"R. Klinkenberg","year":"2004","unstructured":"Klinkenberg, R.: Learning drifting concepts: Example selection vs. example weighting. Intell. Data Anal.\u00a08(3), 281\u2013300 (2004)","journal-title":"Intell. Data Anal."},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Masud, M.M., Jing, G., Khan, L., Jiawei, H., Thuraisingham, B.: A practical approach to classify evolving data streams: Training with limited amount of labeled data. In: ICDM, pp. 929\u2013934 (2008)","DOI":"10.1109\/ICDM.2008.152"},{"key":"34_CR13","unstructured":"Nguyen, H.L.: Concurrent semi-supervised learning of data streams. Technical report, Nanyang Technological Univ., Singapore (2011), http:\/\/www3.ntu.edu.sg\/home2008\/nguy0105\/concurrent-mining.html"},{"key":"34_CR14","first-page":"801","volume-title":"ACM CIKM","author":"N.H. Park","year":"2007","unstructured":"Park, N.H., Lee, W.S.: Grid-based subspace clustering over data streams. In: ACM CIKM, pp. 801\u2013810. ACM, New York (2007)"},{"key":"34_CR15","first-page":"377","volume-title":"ACM SIGKDD","author":"W.N. Street","year":"2001","unstructured":"Street, W.N., Kim, Y.: A streaming ensemble algorithm for large-scale classification. In: ACM SIGKDD, pp. 377\u2013382. ACM, New York (2001)"},{"key":"34_CR16","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1007\/978-3-540-39857-8_40","volume-title":"Machine Learning: ECML 2003","author":"R. Vilalta","year":"2003","unstructured":"Vilalta, R., Rish, I.: A decomposition of classes via clustering to explain and improve naive bayes. In: Lavra\u010d, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) ECML 2003. LNCS (LNAI), vol.\u00a02837, pp. 444\u2013455. Springer, Heidelberg (2003)"},{"key":"34_CR17","first-page":"577","volume-title":"ICML","author":"K. Wagstaff","year":"2001","unstructured":"Wagstaff, K., Cardie, C., Rogers, S.: Constrained k-means clustering with background knowledge. In: ICML, pp. 577\u2013584. Morgan Kaufmann Inc., San Francisco (2001)"},{"key":"34_CR18","first-page":"226","volume-title":"ACM SIGKDD","author":"H. Wang","year":"2003","unstructured":"Wang, H., Fan, W., Yu, P.S., Han, J.: Mining concept-drifting data streams using ensemble classifiers. In: ACM SIGKDD, pp. 226\u2013235. ACM, New York (2003)"},{"issue":"2","key":"34_CR19","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s10115-007-0070-x","volume":"15","author":"A. Zhou","year":"2008","unstructured":"Zhou, A., Cao, F., Qian, W., Jin, C.: Tracking clusters in evolving data streams over sliding windows. Knowledge and Information Systems\u00a015(2), 181\u2013214 (2008)","journal-title":"Knowledge and Information Systems"},{"key":"34_CR20","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-01548-9","volume-title":"Introduction to Semi-Supervised Learning","author":"X. Zhu","year":"2009","unstructured":"Zhu, X., Goldberg, A.B., Brachman, R., Dietterich, T.: Introduction to Semi-Supervised Learning. Morgan and Claypool Publishers, San Francisco (2009)"}],"container-title":["Lecture Notes in Computer Science","Data Warehousing and Knowledge Discovery"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-23544-3_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T17:04:08Z","timestamp":1686243848000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-23544-3_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642235436","9783642235443"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-23544-3_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}