{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T04:32:25Z","timestamp":1764304345520,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642223501"},{"type":"electronic","value":"9783642223518"}],"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\/978-3-642-22351-8_24","type":"book-chapter","created":{"date-parts":[[2011,7,18]],"date-time":"2011-07-18T13:46:41Z","timestamp":1310996801000},"page":"387-404","source":"Crossref","is-referenced-by-count":17,"title":["Density Based Subspace Clustering over Dynamic Data"],"prefix":"10.1007","author":[{"given":"Hans-Peter","family":"Kriegel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peer","family":"Kr\u00f6ger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irene","family":"Ntoutsi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arthur","family":"Zimek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"5","key":"24_CR1","first-page":"587","volume":"17","author":"C.C. Aggarwal","year":"2005","unstructured":"Aggarwal, C.C.: On change diagnosis in evolving data streams. IEEE TKDE\u00a017(5), 587\u2013600 (2005)","journal-title":"IEEE TKDE"},{"key":"24_CR2","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Han, J., Wang, J., Yu, P.S.: A framework for clustering evolving data streams. In: Proc. VLDB (2003)","DOI":"10.1016\/B978-012722442-8\/50016-1"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Han, J., Wang, J., Yu, P.S.: A framework for projected clustering of high dimensional data streams. In: Proc. VLDB (2004)","DOI":"10.1016\/B978-012088469-8.50075-9"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P.: Automatic subspace clustering of high dimensional data for data mining applications. In: Proc. SIGMOD (1998)","DOI":"10.1145\/276304.276314"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Ankerst, M., Breunig, M.M., Kriegel, H.P., Sander, J.: OPTICS: Ordering points to identify the clustering structure. In: Proc. SIGMOD (1999)","DOI":"10.1145\/304182.304187"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"B\u00f6hm, C., Kailing, K., Kriegel, H.P., Kr\u00f6ger, P.: Density connected clustering with local subspace preferences. In: Proc. ICDM (2004)","DOI":"10.1109\/ICDM.2004.10087"},{"key":"24_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: Proc. SDM (2006)","DOI":"10.1137\/1.9781611972764.29"},{"issue":"6","key":"24_CR8","doi-asserted-by":"publisher","first-page":"1417","DOI":"10.1137\/S0097539702418498","volume":"33","author":"M. Charikar","year":"2004","unstructured":"Charikar, M., Chekuri, C., Feder, T., Motwani, R.: Incremental clustering and dynamic information retrieval. SICOMP\u00a033(6), 1417\u20131440 (2004)","journal-title":"SICOMP"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Chen, C.Y., Hwang, S.C., Oyang, Y.J.: An incremental hierarchical data clustering algorithm based on gravity theory. In: Chen, M.-S., Yu, P.S., Liu, B. (eds.) PAKDD 2002. LNCS (LNAI), vol.\u00a02336, p. 237. Springer, Heidelberg (2002)","DOI":"10.1007\/3-540-47887-6_23"},{"key":"24_CR10","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Wimmer, M., Xu, X.: Incremental clustering for mining in a data warehousing environment. In: Proc. VLDB (1998)"},{"key":"24_CR11","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proc. KDD (1996)"},{"issue":"1","key":"24_CR12","first-page":"50","volume":"13","author":"V. Ganti","year":"2001","unstructured":"Ganti, V., Gehrke, J., Ramakrishnan, R.: DEMON: Mining and monitoring evolving data. IEEE TKDE\u00a013(1), 50\u201363 (2001)","journal-title":"IEEE TKDE"},{"key":"24_CR13","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1007\/11430919_49","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"J. Gao","year":"2005","unstructured":"Gao, J., Li, J., Zhang, Z., Tan, P.N.: An incremental data stream clustering algorithm based on dense units detection. In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS (LNAI), vol.\u00a03518, pp. 420\u2013425. Springer, Heidelberg (2005)"},{"key":"24_CR14","doi-asserted-by":"crossref","unstructured":"Garofalakis, M., Gehrke, J., Rastogi, R.: Querying and mining data streams: you only get one look. A tutorial. In: Proc. SIGMOD (2002)","DOI":"10.1145\/564691.564794"},{"issue":"3","key":"24_CR15","first-page":"515","volume":"15","author":"S. Guha","year":"2003","unstructured":"Guha, S., Meyerson, A., Mishra, N., Motwani, R., O\u2019Callaghan, L.: Clustering data streams: Theory and practice. IEEE TKDE\u00a015(3), 515\u2013528 (2003)","journal-title":"IEEE TKDE"},{"issue":"3","key":"24_CR16","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"A.K. Jain","year":"1999","unstructured":"Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: A review. ACM CSUR\u00a031(3), 264\u2013323 (1999)","journal-title":"ACM CSUR"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Kriegel, H.P., Kr\u00f6ger, P., Gotlibovich, I.: Incremental OPTICS: efficient computation of updates in a hierarchical cluster ordering. In: Proc. DaWaK (2003)","DOI":"10.1007\/978-3-540-45228-7_23"},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"Kriegel, H.P., Kr\u00f6ger, P., Ntoutsi, I., Zimek, A.: Towards subspace clustering on dynamic data: an incremental version of PreDeCon. In: Stream KDD 2010 (2010)","DOI":"10.1145\/1833280.1833285"},{"issue":"1","key":"24_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1497577.1497578","volume":"3","author":"H.P. Kriegel","year":"2009","unstructured":"Kriegel, H.P., Kr\u00f6ger, P., Zimek, A.: Clustering high dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. IEEE TKDD\u00a03(1), 1\u201358 (2009)","journal-title":"IEEE TKDD"},{"issue":"2","key":"24_CR20","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1006\/pmed.2001.0952","volume":"34","author":"B. Liebl","year":"2002","unstructured":"Liebl, B., Nennstiel-Ratzel, U., von Kries, R., Fingerhut, R., Olgem\u00f6ller, B., Zapf, A., Roscher, A.A.: Very high compliance in an expanded MS-MS-based newborn screening program despite written parental consent. Preventive Medicine\u00a034(2), 127\u2013131 (2002)","journal-title":"Preventive Medicine"},{"key":"24_CR21","doi-asserted-by":"crossref","unstructured":"Spiliopoulou, M., Ntoutsi, I., Theodoridis, Y., Schult, R.: MONIC: modeling and monitoring cluster transitions. In: Proc. KDD (2006)","DOI":"10.1145\/1150402.1150491"},{"key":"24_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, T., Ramakrishnan, R., Livny, M.: BIRCH: An efficient data clustering method for very large databases. In: Proc. SIGMOD, pp. 103\u2013114 (1996)","DOI":"10.1145\/233269.233324"}],"container-title":["Lecture Notes in Computer Science","Scientific and Statistical Database Management"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-22351-8_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,30]],"date-time":"2019-03-30T02:45:29Z","timestamp":1553913929000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-22351-8_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642223501","9783642223518"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-22351-8_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}