{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T22:01:09Z","timestamp":1769724069402,"version":"3.49.0"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319706245","type":"print"},{"value":"9783319706252","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70625-2_8","type":"book-chapter","created":{"date-parts":[[2017,11,3]],"date-time":"2017-11-03T15:28:24Z","timestamp":1509722904000},"page":"79-88","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Stream Clustering of Chat Messages with\u00a0Applications to Twitch Streams"],"prefix":"10.1007","author":[{"given":"Matthias","family":"Carnein","sequence":"first","affiliation":[]},{"given":"Dennis","family":"Assenmacher","sequence":"additional","affiliation":[]},{"given":"Heike","family":"Trautmann","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,11,10]]},"reference":[{"issue":"2","key":"8_CR1","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1145\/2641190.2641194","volume":"15","author":"CC Aggarwal","year":"2014","unstructured":"Aggarwal, C.C.: Mining text and social streams. ACM SIGKDD Explor. Newsl. 15(2), 9\u201319 (2014)","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Han, J., Wang, J., Yu, P.S.: A framework for clustering evolving data streams. In: Proceedings of the 29th International Conference on Very Large Data Bases, VLDB 2003, vol. 29, pp. 81\u201392. VLDB Endowment, Berlin, Germany (2003)","DOI":"10.1016\/B978-012722442-8\/50016-1"},{"issue":"2","key":"8_CR3","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s10115-009-0241-z","volume":"24","author":"CC Aggarwal","year":"2010","unstructured":"Aggarwal, C.C., Yu, P.S.: On clustering massive text and categorical data streams. Knowl. Inf. Syst. 24(2), 171\u2013196 (2010)","journal-title":"Knowl. Inf. Syst."},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Cao, F., Ester, M., Qian, W., Zhou, A.: Density-based clustering over an evolving data stream with noise. In: Conference on Data Mining (SIAM 2006), pp. 328\u2013339 (2006)","DOI":"10.1137\/1.9781611972764.29"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Carnein, M., Assenmacher, D., Trautmann, H.: An empirical comparison of stream clustering algorithms. In: Proceedings of the ACM International Conference on Computing Frontiers (CF 2017), pp. 361\u2013365 (2017)","DOI":"10.1145\/3075564.3078887"},{"key":"8_CR6","unstructured":"Hahsler, M., Bolanos, M., Forrest, J.: stream: Infrastructure for Data Stream Mining (2015). https:\/\/cran.r-project.org\/web\/packages\/stream\/index.html"},{"issue":"6","key":"8_CR7","doi-asserted-by":"publisher","first-page":"1449","DOI":"10.1109\/TKDE.2016.2522412","volume":"28","author":"M Hahsler","year":"2016","unstructured":"Hahsler, M., Bola\u00f1os, M.: Clustering data streams based on shared density between micro-clusters. IEEE Trans. Knowl. Data Eng. 28(6), 1449\u20131461 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"8_CR8","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.orp.2016.09.002","volume":"3","author":"M L\u00f3pez-Ib\u00e1\u00f1ez","year":"2016","unstructured":"L\u00f3pez-Ib\u00e1\u00f1ez, M., Dubois-Lacoste, J., P\u00e9rez C\u00e1ceres, L., St\u00fctzle, T., Birattari, M.: The irace package: Iterated racing for automatic algorithm configuration. Oper. Res. Perspect. 3, 43\u201358 (2016)","journal-title":"Oper. Res. Perspect."},{"issue":"1","key":"8_CR9","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1145\/2522968.2522981","volume":"46","author":"JA Silva","year":"2013","unstructured":"Silva, J.A., Faria, E.R., Barros, R.C., Hruschka, E.R., de Carvalho, A.C.O.L.F., Gama, J.: Data stream clustering: A survey. ACM Comput. Surv. 46(1), 131\u20131331 (2013)","journal-title":"ACM Comput. Surv."},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Zhang, T., Ramakrishnan, R., Livny, M.: BIRCH: An efficient data clustering databases method for very large. In: ACM SIGMOD International Conference on Management of Data, vol. 1, pp. 103\u2013114 (1996)","DOI":"10.1145\/235968.233324"}],"container-title":["Lecture Notes in Computer Science","Advances in Conceptual Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70625-2_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:17:30Z","timestamp":1710267450000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-70625-2_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319706245","9783319706252"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70625-2_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"10 November 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ER","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Conceptual Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Valencia","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"36","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"er2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/er2017.pros.webs.upv.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}