{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T13:32:23Z","timestamp":1742995943152,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319000343"},{"type":"electronic","value":"9783319000350"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-319-00035-0_35","type":"book-chapter","created":{"date-parts":[[2013,8,27]],"date-time":"2013-08-27T09:29:53Z","timestamp":1377595793000},"page":"347-354","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Approach for Topic Trend Detection"],"prefix":"10.1007","author":[{"given":"Wolfgang","family":"Gaul","sequence":"first","affiliation":[]},{"given":"Dominique","family":"Vincent","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,7,16]]},"reference":[{"key":"35_CR1","unstructured":"Allan, J., Carbonell, J., Doddington, G., Yamron, J., & Yang, Y. (1998). Topic detection and tracking pilot study final report. In Proceedings of the DARPA broadcast news transcription and understanding workshop, Lansdowne (pp. 194\u2013218)."},{"key":"35_CR2","unstructured":"Allan, J., Lavrenko, V., Frey, D. & Vikas, K. (2000). UMass at TDT 2000. In Topic detection and tracking workshop notebook (pp.\u00a0109\u2013115)."},{"key":"35_CR3","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/978-1-4615-0933-2_10","volume-title":"Topic detection and tracking: event-based information organization","author":"J. Allan","year":"2002","unstructured":"Allan, J., Lavrenko, V. & Swan, R. (2002). Explorations within topic tracking and detection. In J. Allan (Ed.), Topic detection and tracking: event-based information organization (pp. 197\u2013222). Norwell: Kluwer Academic."},{"key":"35_CR4","volume-title":"A comprehensive survey of text mining - Clustering, classification, and retrieval","author":"A. Kontostathis","year":"2004","unstructured":"Kontostathis, A., Galitsky, L., Pottenger, W. M., Roy, S., & Phelps, D. J. (2004). A survey of emerging trend detection in textual data mining. In M. W. Berry (Ed.), A comprehensive survey of text mining - Clustering, classification, and retrieval. New York: Springer."},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Kumaran, G., Allan, J., & McCallum, A. (2004). Classification models for new event detection. In International conference on information and knowledge management (CIKM2004). ACM.","DOI":"10.1145\/1008992.1009044"},{"key":"35_CR6","unstructured":"Kupietz, M., Belica, C., Keibel, H., & Witt, A. (2010). The German reference corpus DEREKO: A primordial sample for linguistic research. In N. Calzolari, et al. (Eds.), Proceedings of the 7th conference on international language resources and evaluation (LREC 2010), Valletta (pp. 1848\u20131854). Valletta, Malta: European language resources association (ELRA)."},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Kupietz, M., & Keibel, H. (2009). The Mannheim German reference corpus (DeReKo) as a basis for empirical linguistic research. In M. Minegishi, Y. Kawaguchi, (Eds.), Working papers in corpus-based linguistics and language education, No. 3 (pp. 53\u201359). Tokyo: Tokyo University of Foreign Studies (TUFS).","DOI":"10.1075\/tufs.1.02min"},{"key":"35_CR8","doi-asserted-by":"crossref","unstructured":"Larsen, B., & Aone, C. (1999). Fast and effective text mining using linear-time document clustering. In Proceedings of the fifth ACM SIGKDD international conference on knowledge discovery and data mining KDD \u201999, New York (pp. 16\u201322). ACM.","DOI":"10.1145\/312129.312186"},{"key":"35_CR9","volume-title":"An introduction to information retrieval","author":"C.D. Manning","year":"2009","unstructured":"Manning, C.D., Raghavan, P., & Schuetze, H. (2009). An introduction to information retrieval. Cambridge: Cambridge University Press."},{"key":"35_CR10","volume-title":"Automatic text processing: the transformation, analysis, and retrieval of information by computer","author":"G. Salton","year":"1989","unstructured":"Salton, G. (1989). Automatic text processing: the transformation, analysis, and retrieval of information by computer. Boston: Addison-Wesley."},{"issue":"5","key":"35_CR11","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/0306-4573(88)90021-0","volume":"24","author":"G. Salton","year":"1988","unstructured":"Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24(5), 513\u2013523.","journal-title":"Information Processing and Management"},{"issue":"11","key":"35_CR12","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1145\/361219.361220","volume":"18","author":"G. Salton","year":"1975","unstructured":"Salton, G., Wong, A., & Yang, C.S. (1975). A vector space model for automatic indexing. Communications of the ACM, 18(11), 613\u2013620.","journal-title":"Communications of the ACM"},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"Wang, X., Jin, X., Zhang, K., & Shen, D. (2009). Mining common topics from multiple asynchronous text streams. In International conference on web search and data mining, New\u00a0York (pp. 192\u2013201). ACM.","DOI":"10.1145\/1498759.1498826"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Wang, X., Zhai, C., Hu, X., & Sproat, R. (2007). Mining correlated bursty topic patterns from coordinated text streams. In International conference on knowledge discovery and data mining, New York (pp. 784\u2013793). ACM.","DOI":"10.1145\/1281192.1281276"}],"container-title":["Studies in Classification, Data Analysis, and Knowledge Organization","Algorithms from and for Nature and Life"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-00035-0_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T17:03:09Z","timestamp":1706202189000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-00035-0_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783319000343","9783319000350"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-00035-0_35","relation":{},"ISSN":["1431-8814"],"issn-type":[{"type":"print","value":"1431-8814"}],"subject":[],"published":{"date-parts":[[2013]]},"assertion":[{"value":"16 July 2013","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}