{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:40:38Z","timestamp":1761648038836},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2013,1,29]],"date-time":"2013-01-29T00:00:00Z","timestamp":1359417600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1007\/s10462-013-9398-7","type":"journal-article","created":{"date-parts":[[2013,1,28]],"date-time":"2013-01-28T14:47:52Z","timestamp":1359384472000},"page":"593-600","source":"Crossref","is-referenced-by-count":53,"title":["Research on data stream clustering algorithms"],"prefix":"10.1007","volume":"43","author":[{"given":"Shifei","family":"Ding","sequence":"first","affiliation":[]},{"given":"Fulin","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Qian","sequence":"additional","affiliation":[]},{"given":"Hongjie","family":"Jia","sequence":"additional","affiliation":[]},{"given":"Fengxiang","family":"Jin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,1,29]]},"reference":[{"key":"9398_CR1","unstructured":"Aggarwal CC, Han J, Wang J et al (2003) A framewrok for clustering evolving data streams. In: Proceedings of VLDB 2003. pp 81\u201392"},{"key":"9398_CR2","doi-asserted-by":"crossref","unstructured":"Aggarwal CC, Han J, Wang J, Yu PS (2004) A framework for projected clustering of high dimensional data streams. In: Proceedings of the 30th international conference on very large data bases. pp 852\u2013863","DOI":"10.1016\/B978-012088469-8.50075-9"},{"key":"9398_CR3","unstructured":"Aggarwal CC, Yu PS (2008) A framework for clustering uncertain data streams. In: Proceeding of the 24th international conference on data engineering. pp 150\u2013159"},{"key":"9398_CR4","unstructured":"Aggarwal CC, Yu PS (2008) Outlier detection with uncertain data. In: Proceeding of the SIAM data mining conference pp 483\u2013493"},{"issue":"3","key":"9398_CR5","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s10618-005-0645-7","volume":"10","author":"CC Aggarwal","year":"2005","unstructured":"Aggarwal CC, Han J, Wang J et al (2005) On high dimension projected clustering of uncertain data streams. Data Min Knowl Discov 10(3):251\u2013273","journal-title":"Data Min Knowl Discov"},{"key":"9398_CR6","unstructured":"Babcock B, Babu S, Datar M, et al (2002) Models and issues in data streams. In: Proceedings of the 21th ACM symposium on principles of database systems. pp 1\u201316"},{"issue":"2","key":"9398_CR7","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1145\/507515.507519","volume":"3","author":"D Barbar\u00e1","year":"2003","unstructured":"Barbar\u00e1 D (2003) Requirements for clustering data streams. ACM SIGKDD Explor Newsl 3(2):23\u201327","journal-title":"ACM SIGKDD Explor Newsl"},{"key":"9398_CR8","doi-asserted-by":"crossref","unstructured":"Bifet A, Holmes G, Pfahringer B (2009) New ensemble methods for evolving data streams. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining. pp 139\u2013148","DOI":"10.1145\/1557019.1557041"},{"key":"9398_CR9","doi-asserted-by":"crossref","unstructured":"Bulut A, Singh AK (2003) SWAT: hierarchical stream summarization in large networks. In: Proceeding of the 19th international conference on data engineering. pp 303\u2013314","DOI":"10.1109\/ICDE.2003.1260801"},{"issue":"2","key":"9398_CR10","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1360\/jos180291","volume":"18","author":"F Cao","year":"2007","unstructured":"Cao F, Zhou A (2007) Fast clustering of data stream using graphics processors. J Softw 18(2):291\u2013304","journal-title":"J Softw"},{"issue":"4","key":"9398_CR11","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1360\/jos180905","volume":"18","author":"J Chang","year":"2007","unstructured":"Chang J, Cao F, Zhou A (2007) Clustering evolving data stream over sliding windows. J Softw 18(4):905\u2013918","journal-title":"J Softw"},{"issue":"4","key":"9398_CR12","doi-asserted-by":"crossref","first-page":"644","DOI":"10.3724\/SP.J.1001.2010.03570","volume":"21","author":"H Chen","year":"2010","unstructured":"Chen H, Shi B (2010) Wavelet synopsis based clustering of parallel data streams. J Softw 21(4):644\u2013658","journal-title":"J Softw"},{"key":"9398_CR13","doi-asserted-by":"crossref","unstructured":"Cormode G, Garofalakis M (2007) Sketching probabilistic data streams. In: Proceedings of the ACM SIGMOD international conference on management of data. pp 281\u2013289","DOI":"10.1145\/1247480.1247513"},{"issue":"5","key":"9398_CR14","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.3724\/SP.J.1001.2009.03303","volume":"20","author":"D Dai","year":"2009","unstructured":"Dai D, Zhao W, Sun L (2009) Effective clustering algorithm for probabilistic data stream. J Softw 20(5):1313\u20131328","journal-title":"J Softw"},{"key":"9398_CR15","doi-asserted-by":"crossref","unstructured":"Dingi H, Trajcevski G, Scheuestern P, Xiaoyue W, Eamonn K (2008) Querying and mining of time series data: experimental comparison of representations and distance measures. In: ACM Proceedings of the VLDB endowment. 1(2):1542\u20131552","DOI":"10.14778\/1454159.1454226"},{"issue":"2","key":"9398_CR16","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1145\/1083784.1083789","volume":"34","author":"MM Gaber","year":"2005","unstructured":"Gaber MM, Zaslavsky AB, Krishnaswamy S (2005) Mining data streams: a review. SIGMOD Rec 34(2):18\u201326","journal-title":"SIGMOD Rec"},{"issue":"2","key":"9398_CR17","first-page":"37","volume":"3","author":"S Guha","year":"2003","unstructured":"Guha S, Meyerson A et al (2003) Clustering datastreams: theory and practice. IEEE TKDE Special Issue Clust 3(2):37\u201346","journal-title":"IEEE TKDE Special Issue Clust"},{"issue":"3","key":"9398_CR18","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1109\/TKDE.2003.1198387","volume":"15","author":"S Guha","year":"2003","unstructured":"Guha S, Meyerson A, Mishra N et al (2003) Clustering data streams: theory and practice. IEEE Trans Knowl Data Eng 15(3):505\u2013528","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"9398_CR19","doi-asserted-by":"crossref","unstructured":"Guha S, Harb B (2005) Wavelet synopsis for data streams: minimizing non-euclidean error. In: Proceeding of the 11th ACM SIGKDD international conference on knowledge discovery in data mining. pp 88\u201397","DOI":"10.1145\/1081870.1081884"},{"key":"9398_CR20","doi-asserted-by":"crossref","unstructured":"Guha S, Mishra N, Motwani R et al (2000) Clustering data streams. In: Proceedings of the 41st annual symposium on foundations of computer science. pp 359\u2013366","DOI":"10.1109\/SFCS.2000.892124"},{"key":"9398_CR21","doi-asserted-by":"crossref","unstructured":"Guha S, Mishra N, Motwani R et al (2000) Clustering data streams. In: Proceedings of the 41st annual symposium on foundations of computer science. Washington: IEEE Computer Society. pp 359\u2013366","DOI":"10.1109\/SFCS.2000.892124"},{"issue":"1","key":"9398_CR22","first-page":"103","volume":"48","author":"D Han","year":"2011","unstructured":"Han D, Gong P, Xiao C (2011) Load shedding strategies on sliding window joins over data streams. J Comput Res Dev 48(1):103\u2013109","journal-title":"J Comput Res Dev"},{"key":"9398_CR23","unstructured":"Jayram TS, Kale S, Vee E (2007) Efficient aggregation algorithms for probabilistic data. In: Proceeding of the 18th annual ACM-SIAM syrup. On discrete algorithms(SODA). pp 346\u2013355"},{"issue":"4","key":"9398_CR24","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1145\/1412331.1412338","volume":"33","author":"TS Jayram","year":"2008","unstructured":"Jayram TS, McGregor A, Muthukrishan VE (2008) Estimating statistical aggregates on probabilistic data streams. ACM Trans Database Syst 33(4):26\u201330","journal-title":"ACM Trans Database Syst"},{"key":"9398_CR25","unstructured":"Karras P, Mamoulis N (2005) One-pass wavelet synopses for maximum-errormetrics. In: Proceeding of the 31st international conference on very large data bases. pp 421\u2013432"},{"issue":"1","key":"9398_CR26","first-page":"289","volume":"8","author":"V Kavitha","year":"2010","unstructured":"Kavitha V, Punithavalli M (2010) Clustering time series data stream\u2014a literature survey. Int J Comput Sci Inf Secur IJCSIS 8(1):289\u2013294","journal-title":"Int J Comput Sci Inf Secur IJCSIS"},{"key":"9398_CR27","doi-asserted-by":"crossref","unstructured":"Mahdiraji AR (2009) Clustering data stream: a survey of algorithms. Int J Knowl Based Intell Eng Syst 12(2):39\u201344","DOI":"10.3233\/JAD-2009-0168"},{"key":"9398_CR28","first-page":"115","volume":"32","author":"M Motoyoshi","year":"2004","unstructured":"Motoyoshi M, Miura T, Shioya I (2004) Clustering stream data by regression analysis. Duned Aust Comput Soc 32:115\u2013120","journal-title":"Duned Aust Comput Soc"},{"key":"9398_CR29","unstructured":"Muthukrishnan S (2003) Data streams algorithms and applications. In: Proceeding of the 14th annual ACM-SIAM symposium on discrete algorithms. pp 13\u2013413"},{"issue":"1","key":"9398_CR30","first-page":"83","volume":"28","author":"W Ni","year":"2007","unstructured":"Ni W, Lu J, Chen G, Sun Z (2007) Efficient data stream clustering algorithm based on k-means partitioning and density. J Chin Comput Syst 28(1):83\u201387","journal-title":"J Chin Comput Syst"},{"key":"9398_CR31","doi-asserted-by":"crossref","unstructured":"O\u2019Callaghan L, Mishra N, Meyerson A et al (2002) Motwani. Streaming data algorithms for high-quality clustering. In: Proceedings of the 18th international conference on data engineering. pp 685\u2013704","DOI":"10.1109\/ICDE.2002.994785"},{"key":"9398_CR32","doi-asserted-by":"crossref","unstructured":"Ordonez C (2003) Clustering binary data streams with K- mean. In: Proceedings of DMKD\u201903. pp 12\u201319","DOI":"10.1145\/882082.882087"},{"key":"9398_CR33","doi-asserted-by":"crossref","unstructured":"Palpanas T, Vlachos M, Keogh E (2004) Online amnesic approximation of streaming time series. In: Proceeding of the 20th international conference on data engineering. pp 339\u2013349","DOI":"10.1109\/ICDE.2004.1320009"},{"key":"9398_CR34","doi-asserted-by":"crossref","unstructured":"Song M, Wang H (2005) Highly efficient incremental estimation of gaussian mixture models for online data stream clustering. In: Proceeding of intelligence computing: theory and application. pp 174\u2013183","DOI":"10.1117\/12.601724"},{"issue":"suppl","key":"9398_CR35","first-page":"289","volume":"41","author":"H Sun","year":"2004","unstructured":"Sun H, Zhao F, Bao Y (2004) CD-stream-a space partition based density clustering algorithm over data stream. J Comput Res Dev 41(suppl):289\u2013294","journal-title":"J Comput Res Dev"},{"issue":"1","key":"9398_CR36","first-page":"93","volume":"34","author":"Y Sun","year":"2008","unstructured":"Sun Y, Mao G, Liu X (2008) Ming concept drifts from data streams based on muti-classifiers. Acta Automatica Sinica 34(1):93\u201397","journal-title":"Acta Automatica Sinica"},{"key":"9398_CR37","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1175\/1520-0442-12.1.200","volume":"12","author":"LM Talbot","year":"1999","unstructured":"Talbot LM, Talbot BG, Peterson RE (1999) Application of fuzzy grade-of membership clustering to analysis of remotesensing data. J Clim 12:200\u2013219","journal-title":"J Clim"},{"key":"9398_CR38","doi-asserted-by":"crossref","first-page":"4345","DOI":"10.1021\/ie990144q","volume":"38","author":"XZ Wang","year":"1999","unstructured":"Wang XZ, Li RF (1999) Combining conceptual clustering and principal component analysis for state space based process monitoring. Ind Eng Chem Res 38:4345\u20134358","journal-title":"Ind Eng Chem Res"},{"key":"9398_CR39","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1007\/978-3-642-00672-2_45","volume":"5446","author":"Y Wang","year":"2009","unstructured":"Wang Y, Tang CJ, Li C, Chen Y, Yang N, Tang R, Zhu J (2009) Intervention events detection and prediction in data streams. Lect Notes Comput Sci 5446:519\u2013525","journal-title":"Lect Notes Comput Sci"},{"issue":"8","key":"9398_CR40","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.3724\/SP.J.1001.2011.03893","volume":"22","author":"Y Wang","year":"2011","unstructured":"Wang Y, Tang CJ, Wang Y (2011) Mining hotspots from multiple text streams based on stream information distance. J Softw 22(8):1761\u20131770","journal-title":"J Softw"},{"issue":"5","key":"9398_CR41","first-page":"887","volume":"30","author":"F Wu","year":"2009","unstructured":"Wu F, Zhong Y, Jin X (2009) Arbitrary shape clustering algorithm for evolving data stream over sliding windows. J Chin Comput Syst 30(5):887\u2013890","journal-title":"J Chin Comput Syst"},{"issue":"5","key":"9398_CR42","first-page":"166","volume":"43","author":"L Xin","year":"2007","unstructured":"Xin L, Ni Z, Huang L (2007) Modifiable Birch cluster algorithm used in data stream. Comput Eng Appl 43(5):166\u2013169","journal-title":"Comput Eng Appl"},{"issue":"8","key":"9398_CR43","first-page":"1364","volume":"30","author":"C Yang","year":"2007","unstructured":"Yang C, Zhou J (2007) A Heterogeneous data stream clustering algorithm. Chin J Comput 30(8):1364\u20131371","journal-title":"Chin J Comput"},{"issue":"5","key":"9398_CR44","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.3724\/SP.J.1001.2010.03470","volume":"21","author":"N Yang","year":"2010","unstructured":"Yang N, Tang C, Wang Y (2010) Clustering algorithm on data stream with skew distribution based on density. J Softw 21(5):1031\u20131041","journal-title":"J Softw"},{"issue":"2","key":"9398_CR45","doi-asserted-by":"crossref","first-page":"285","DOI":"10.3724\/SP.J.1001.2011.03829","volume":"22","author":"Wang Yue","year":"2011","unstructured":"Yue Wang, Changjie Tang, Ning Yang (2011) Mining optimized probabilistic intervention strategy over uncertain data set. J Softw 22(2):285\u2013297","journal-title":"J Softw"},{"issue":"9","key":"9398_CR46","first-page":"2173","volume":"21","author":"C Zhang","year":"2010","unstructured":"Zhang C, Jin C, Zhou A (2010) Clustering algorithm over uncertain data stream. J Softw 21(9):2173\u20132181","journal-title":"J Softw"},{"issue":"1","key":"9398_CR47","first-page":"77","volume":"48","author":"L Zhang","year":"2011","unstructured":"Zhang L, Zou P, Jia Y (2011) Continuous dynamic skyline queries over data stream. J Comput Res Dev 48(1):77\u201385","journal-title":"J Comput Res Dev"},{"key":"9398_CR48","doi-asserted-by":"crossref","unstructured":"Zhang T, Ramakrishnan R, Livny M (1996) Birch: an efficient data clustering method for very large databases. In: Proceeding of the SIGMOD. pp 103\u2013114","DOI":"10.1145\/235968.233324"},{"issue":"3","key":"9398_CR49","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1360\/jos170379","volume":"17","author":"W Zhu","year":"2006","unstructured":"Zhu W, Yin J, Xie Y (2006) Arbitrary shape cluster algorithm for clustering data stream. J Softw 17(3):379\u2013387","journal-title":"J Softw"},{"issue":"9","key":"9398_CR50","first-page":"1078","volume":"37","author":"Q Zhu","year":"2011","unstructured":"Zhu Q, Zhang Y, Hu X (2011) A double-window-based classification algorithm for concept drifting data streams. Acta Automatica Sinica 37(9):1078\u20131084","journal-title":"Acta Automatica Sinica"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-013-9398-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10462-013-9398-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-013-9398-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,8]],"date-time":"2019-07-08T23:35:37Z","timestamp":1562628937000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10462-013-9398-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,1,29]]},"references-count":50,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2015,4]]}},"alternative-id":["9398"],"URL":"https:\/\/doi.org\/10.1007\/s10462-013-9398-7","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"value":"0269-2821","type":"print"},{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,1,29]]}}}