BursT: A Dynamic Term Weighting Scheme for Mining Microblogging Messages
暂无分享,去创建一个
[1] Daniel A. Keim,et al. Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , 2002, KDD.
[2] Yiming Yang,et al. A study of retrospective and on-line event detection , 1998, SIGIR '98.
[3] Alexey Tsymbal,et al. The problem of concept drift: definitions and related work , 2004 .
[4] Thorsten Brants,et al. A System for new event detection , 2003, SIGIR.
[5] Mario Cataldi,et al. Emerging topic detection on Twitter based on temporal and social terms evaluation , 2010, MDMKDD '10.
[6] Albert Bifet,et al. Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams , 2010, Frontiers in Artificial Intelligence and Applications.
[7] Michael S. Bernstein,et al. Short and tweet: experiments on recommending content from information streams , 2010, CHI.
[8] Mitsuru Ishizuka,et al. Topic extraction from news archive using TF*PDF algorithm , 2002, Proceedings of the Third International Conference on Web Information Systems Engineering, 2002. WISE 2002..
[9] Hsin-Chang Yang,et al. DBHTE: A Novel Algorithm for Extracting Real-time Microblogging Topics , 2010, CAINE.
[10] Marc Cheong,et al. Integrating web-based intelligence retrieval and decision-making from the twitter trends knowledge base , 2009, CIKM-SWSM.