{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T15:53:54Z","timestamp":1776527634031,"version":"3.51.2"},"publisher-location":"Berlin, Heidelberg","reference-count":38,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783662448472","type":"print"},{"value":"9783662448489","type":"electronic"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-662-44848-9_1","type":"book-chapter","created":{"date-parts":[[2014,9,1]],"date-time":"2014-09-01T05:42:21Z","timestamp":1409550141000},"page":"1-16","source":"Crossref","is-referenced-by-count":4,"title":["Classifying a Stream of Infinite Concepts: A Bayesian Non-parametric Approach"],"prefix":"10.1007","author":[{"given":"Seyyed Abbas","family":"Hosseini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamid R.","family":"Rabiee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hassan","family":"Hafez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Soltani-Farani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Ahmed, A., Low, Y., Aly, M., Josifovski, V., Smola, A.J.: Scalable distributed inference of dynamic user interests for behavioral targeting. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 114\u2013122. ACM (2011)","DOI":"10.1145\/2020408.2020433"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Ahmed, A., Ho, Q., Eisenstein, J., Xing, E., Smola, A.J., Teo, C.H.: Unified analysis of streaming news. In: Proceedings of the 20th International Conference on World Wide Web, pp. 267\u2013276. ACM (2011)","DOI":"10.1145\/1963405.1963445"},{"key":"1_CR3","doi-asserted-by":"crossref","unstructured":"Ahmed, A., Xing, E.P.: Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering. In: SDM, pp. 219\u2013230 (2008)","DOI":"10.1137\/1.9781611972788.20"},{"key":"1_CR4","unstructured":"Ahmed, A., Xing, E.P.: Timeline: A dynamic hierarchical Dirichlet process model for recovering birth\/death and evolution of topics in text stream. arXiv preprint arXiv:1203.3463 (2012)"},{"issue":"1-2","key":"1_CR5","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1020281327116","volume":"50","author":"C. Andrieu","year":"2003","unstructured":"Andrieu, C., De Freitas, N., Doucet, A., Jordan, M.I.: An introduction to MCMC for machine learning. Machine Learning\u00a050(1-2), 5\u201343 (2003)","journal-title":"Machine Learning"},{"issue":"6","key":"1_CR6","doi-asserted-by":"publisher","first-page":"1152","DOI":"10.1214\/aos\/1176342871","volume":"2","author":"C.E. Antoniak","year":"1974","unstructured":"Antoniak, C.E.: Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems. The Annals of Statistics\u00a02(6), 1152\u20131174 (1974)","journal-title":"The Annals of Statistics"},{"key":"1_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-16184-1_1","volume-title":"Discovery Science","author":"A. Bifet","year":"2010","unstructured":"Bifet, A., Frank, E.: Sentiment knowledge discovery in twitter streaming data. In: Pfahringer, B., Holmes, G., Hoffmann, A. (eds.) DS 2010. LNCS, vol.\u00a06332, pp. 1\u201315. Springer, Heidelberg (2010)"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Bifet, A., Pfahringer, B., Read, J., Holmes, G.: Efficient data stream classification via probabilistic adaptive windows. In: Proceedings of the 28th Annual ACM Symposium on Applied Computing, pp. 801\u2013806. ACM (2013)","DOI":"10.1145\/2480362.2480516"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Blackwell, D., MacQueen, J.B.: Ferguson distributions via Plya urn schemes. The Annals of Statistics, 353\u2013355 (1973)","DOI":"10.1214\/aos\/1176342372"},{"issue":"1","key":"1_CR10","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1214\/06-BA104","volume":"1","author":"D.M. Blei","year":"2006","unstructured":"Blei, D.M., Jordan, M.I.: Variational inference for Dirichlet process mixtures. Bayesian Analysis\u00a01(1), 121\u2013143 (2006)","journal-title":"Bayesian Analysis"},{"key":"1_CR11","first-page":"2461","volume":"12","author":"D.M. Blei","year":"2011","unstructured":"Blei, D.M., Frazier, P.I.: Distance dependent Chinese restaurant processes. The Journal of Machine Learning Research\u00a012, 2461\u20132488 (2011)","journal-title":"The Journal of Machine Learning Research"},{"issue":"1","key":"1_CR12","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J. Cohen","year":"1960","unstructured":"Cohen, J.: A coefficient of agreement for nominal scales. Educational and Psychological Measurement\u00a020(1), 37\u201346 (1960)","journal-title":"Educational and Psychological Measurement"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Chu, W., Zinkevich, M., Li, L., Thomas, A., Tseng, B.: Unbiased online active learning in data streams. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 195\u2013203. ACM (2011)","DOI":"10.1145\/2020408.2020444"},{"issue":"10","key":"1_CR14","doi-asserted-by":"publisher","first-page":"1781","DOI":"10.1109\/TPAMI.2010.21","volume":"32","author":"M. Davy","year":"2010","unstructured":"Davy, M., Tourneret, J.Y.: Generative supervised classification using dirichlet process priors. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a032(10), 1781\u20131794 (2010)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"1_CR15","unstructured":"Domingos, P.: Why Does Bagging Work? A Bayesian Account and its Implications. In: KDD, pp. 155\u2013158 (1997)"},{"issue":"10","key":"1_CR16","doi-asserted-by":"publisher","first-page":"1517","DOI":"10.1109\/TNN.2011.2160459","volume":"22","author":"R. Elwell","year":"2011","unstructured":"Elwell, R., Polikar, R.: Incremental learning of concept drift in nonstationary environments. IEEE Transactions on Neural Networks\u00a022(10), 1517\u20131531 (2011)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Ferguson, T.S.: A Bayesian analysis of some nonparametric problems. The Annals of Statistics, 209\u2013230 (1973)","DOI":"10.1214\/aos\/1176342360"},{"issue":"3","key":"1_CR18","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/s10994-012-5320-9","volume":"90","author":"J. Gama","year":"2013","unstructured":"Gama, J., Sebastio, R., Rodrigues, P.P.: On evaluating stream learning algorithms. Machine Learning\u00a090(3), 317\u2013346 (2013)","journal-title":"Machine Learning"},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Gama, J., Zliobaite, I., Bifet, A., Pechenizkiy, M., Bouchachia, A.: A Survey on Concept Drift Adaptation. ACM Computing Surveys\u00a046(4) (2014)","DOI":"10.1145\/2523813"},{"key":"1_CR20","doi-asserted-by":"crossref","unstructured":"Geman, S., Geman, D.: Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a0(6), 721\u2013741 (1984)","DOI":"10.1109\/TPAMI.1984.4767596"},{"issue":"1","key":"1_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jmp.2011.08.004","volume":"56","author":"S.J. Gershman","year":"2012","unstructured":"Gershman, S.J., Blei, D.M.: A tutorial on Bayesian nonparametric models. Journal of Mathematical Psychology\u00a056(1), 1\u201312 (2012)","journal-title":"Journal of Mathematical Psychology"},{"key":"1_CR22","doi-asserted-by":"crossref","unstructured":"Gomes, J.B., Menasalvas, E., Sousa, P.A.: Learning recurring concepts from data streams with a context-aware ensemble. In: Proceedings of the 2011 ACM Symposium on Applied Computing, pp. 994\u2013999. ACM (2011)","DOI":"10.1145\/1982185.1982403"},{"key":"1_CR23","unstructured":"Graepel, T., Candela, J.Q., Borchert, T., Herbrich, R.: Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft\u2019s bing search engine. In: Proceedings of the 27th International Conference on Machine Learning (ICML 2010), pp. 13\u201320 (2010)"},{"key":"1_CR24","first-page":"1923","volume":"12","author":"L.A. Hannah","year":"2011","unstructured":"Hannah, L.A., Blei, D.M., Powell, W.B.: Dirichlet process mixtures of generalized linear models. The Journal of Machine Learning Research\u00a012, 1923\u20131953 (2011)","journal-title":"The Journal of Machine Learning Research"},{"key":"1_CR25","unstructured":"Harries, M.: Splice-2 comparative evaluation: Electricity pricing. Artificial Intelligence Group, School of Computer Science and Engineering, The University of New South Wales, Sidney, Tech.Rep. UNSW-CSE-TR-9905 (1999)"},{"issue":"4","key":"1_CR26","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1080\/00031305.1976.10479175","volume":"30","author":"D. Heath","year":"1976","unstructured":"Heath, D., Sudderth, W.: De Finetti\u2019s theorem on exchangeable variables. The American Statistician\u00a030(4), 188\u2013189 (1976)","journal-title":"The American Statistician"},{"key":"1_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1007\/978-3-642-32584-7_27","volume-title":"Data Warehousing and Knowledge Discovery","author":"M.J. Hosseini","year":"2012","unstructured":"Hosseini, M.J., Ahmadi, Z., Beigy, H.: New management operations on classifiers pool to track recurring concepts. In: Cuzzocrea, A., Dayal, U. (eds.) DaWaK 2012. LNCS, vol.\u00a07448, pp. 327\u2013339. Springer, Heidelberg (2012)"},{"issue":"1","key":"1_CR28","first-page":"1303","volume":"14","author":"M.D. Hoffman","year":"2013","unstructured":"Hoffman, M.D., Blei, D.M., Wang, C., Paisley, J.: Stochastic variational inference. The Journal of Machine Learning Research\u00a014(1), 1303\u20131347 (2013)","journal-title":"The Journal of Machine Learning Research"},{"issue":"3","key":"1_CR29","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/s10115-009-0206-2","volume":"22","author":"I. Katakis","year":"2010","unstructured":"Katakis, I., Tsoumakas, G., Vlahavas, I.: Tracking recurring contexts using ensemble classifiers: an application to email filtering. Knowledge and Information Systems\u00a022(3), 371\u2013391 (2010)","journal-title":"Knowledge and Information Systems"},{"issue":"3","key":"1_CR30","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. Intelligent Data Analysis\u00a08(3), 281\u2013300 (2004)","journal-title":"Intelligent Data Analysis"},{"key":"1_CR31","unstructured":"Minka, T.P.: Bayesian model averaging is not model combination. Technical Report (2000)"},{"key":"1_CR32","unstructured":"Minka, T.P.: Expectation propagation for approximate Bayesian inference. In: Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, pp. 362\u2013369. Morgan Kaufmann Publishers Inc. (2001)"},{"issue":"2","key":"1_CR33","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1080\/10618600.2000.10474879","volume":"9","author":"R.M. Neal","year":"2000","unstructured":"Neal, R.M.: Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics\u00a09(2), 249\u2013265 (2000)","journal-title":"Journal of Computational and Graphical Statistics"},{"issue":"4","key":"1_CR34","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1109\/TKDE.2011.58","volume":"24","author":"L.L. Minku","year":"2012","unstructured":"Minku, L.L., Yao, X.: DDD: A new ensemble approach for dealing with concept drift. IEEE Transactions on Knowledge and Data Engineering\u00a024(4), 619\u2013633 (2012)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"1_CR35","unstructured":"Paquet, U., Van Gael, J., Stern, D., Kasneci, G., Herbrich, R., Graepel, T.: Vuvuzelas & Active Learning for Online Classification. In: NIPS Workshop on Comp. Social Science and the Wisdom of Crowds (2010)"},{"key":"1_CR36","first-page":"1829","volume":"10","author":"B. Shahbaba","year":"2009","unstructured":"Shahbaba, B., Neal, R.: Nonlinear models using Dirichlet process mixtures. The Journal of Machine Learning Research\u00a010, 1829\u20131850 (2009)","journal-title":"The Journal of Machine Learning Research"},{"key":"1_CR37","unstructured":"Zhang, J., Ghahramani, Z., Yang, Y.: A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. In: NIPS, vol.\u00a04, pp. 1617\u20131624 (2004)"},{"issue":"6","key":"1_CR38","doi-asserted-by":"publisher","first-page":"1607","DOI":"10.1109\/TSMCB.2010.2042445","volume":"40","author":"X. Zhu","year":"2010","unstructured":"Zhu, X., Zhang, P., Lin, X., Shi, Y.: Active learning from stream data using optimal weight classifier ensemble. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics\u00a040(6), 1607\u20131621 (2010)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-44848-9_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T04:09:30Z","timestamp":1717301370000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-44848-9_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783662448472","9783662448489"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-44848-9_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}