自动化技术、计算机技术 |
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新闻数据流的在线事件检测 |
陈伟1, 张成2, 王灿1,卜佳俊1, 陈纯1, 陈宏3 |
1.浙江大学 计算机科学与技术学院,浙江 杭州 310027; 2.中国残疾人联合会信息中心,北京 100034; 3.浙江科技学院 信息中心,浙江 杭州 310023 |
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Online event detection in news stream |
CHEN Wei1, ZHANG Cheng2, WANG Can1, BU Jia-jun1, CHEN Chun1, CHEN Hong3 |
1. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; 2. Information Center of China Disabled Persons’ Federation, Beijing 100034, China; 3. Information Center, Zhejiang University of Science and Technology, Hangzhou 310023, China |
引用本文:
陈伟, 张成, 王灿,卜佳俊, 陈纯, 陈宏. 新闻数据流的在线事件检测[J]. J4, 2011, 45(6): 1006-1012.
CHEN Wei, ZHANG Cheng, WANG Can, BU Jia-jun, CHEN Chun, CHEN Hong. Online event detection in news stream. J4, 2011, 45(6): 1006-1012.
链接本文:
https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2011.06.007
或
https://www.zjujournals.com/eng/CN/Y2011/V45/I6/1006
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[1] 第25次中国互联网络发展状况统计报告[R].北京:中国互联网信息中心,2010. [2] Topic detection and tracking evaluation project[EB/OL]. 20030908.http:∥www.itl.nist.gov/iad/mig∥tests/tdt/. [3] ALLAN J, PAPKA R, LAVERENKO V. Online new event detection and tracking[C]∥Proceeding 21st Annual International ACM SIGIR Conference. New York:ACM, 1998: 37-45. [4] YANG Y, PIERCE T, CARBONELL J. A study on retrospective and online event detection[C]∥Proceeding 21st Annual International ACM SIGIR Conference. New York: ACM, 1998: 28-36. [5] LAM W, MENG H, WONG K, et al. Using contextual analysis for news event detection [J]. International Journal of Intelligent Systems, 2001, 16(4): 525-546. [6] YANG Y, ZHANG J, CARBONELL J, et al. Topicconditioned novelty detection[C]∥ Proceeding of the 8th ACM SIGKDD International Conference. New York:ACM, 2002:688-693. [7] KUMARAN G, ALLAN J. Text classification and named entities for new event detection[C]∥Proceeding 27st annual International ACM SIGIR Conference. New York: ACM, 2004:297-304. [8] ZHANG K, LI J, WU G, et al. A new event detection model based on term reweighting[J]. Journal of Software, 2008, 19(4): 817-828. [9] ZHANG K, LI J, WU G. New event detection based on indexingtree and name entity[C]∥ Proceeding of 30st Annual International ACM SIGIR Conference. New York: ACM, 2007: 215-222. [10] HE Q, CHANG K, LIM E. Analyzing feature trajectories for event detection[C]∥Proceeding of 30st Annual International ACM SIGIR Conference. New York: ACM, 2007: 207-214. [11] FUNG G, YU J, YU P, et al. Parameter free bursty events detection in text streams[C]∥Proceeding of the 31st International Conference on Very Large Databases. New York: ACM, 2005: 181-192. [12] LEWIS D, YANG Y, ROSE T, et al. RCV1: a new benchmark collection for text categorization research[J]. Journal of Machine Learning Research, 2004, 5(1): 361-197. [13] William F. An introduction to probability theory and its applications [M]. New York: Wiley,1968. [14] 盛骤, 谢式千, 潘承毅. 概率论与数理统计[M]. 北京:高等教育出版社, 2001:91-92 [15] LUXBURG U. A tutorial on spectral clustering[J]. Statistics and Computing, 2007, 17(4): 395-416. [16] CHAKRABARTI D, KUMAR R, TOMKINS A. Evolutionary clustering[C]∥ Proceeding of the 12th ACM SIGKDD International Conference. New York:ACM, 2006:554-560. [17] CHI Y, SONG X, ZHOU D, et al. Evolutionary spectral clustering by incorporating temporal smoothness[C]∥ Proceeding of the 13th ACM SIGKDD International Conference. New York: ACM, 2007:153-162. [18] SHI J, MALIK J. Normalized cuts and image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 888-905. [19] Apache Lucene project[EB/OL]. \ [2005-09-09\]. http:∥lucene.apache.org. [20] CNN1996 year in review[EB/OL].1997-01-03. http:∥edition.cnn.com/EVENTS/1996/year.in.review/topten/twa/twa.index.html. [21] Boston Globe Online/top news stories of 1997 [EB/OL]. \ [1998-01-03\]. http:∥www.boston.com/globe/packages/year_in_review/news/. |
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