-
2
-
-
84863120607
-
-
Website
-
National Institute of Standards and Technology of America Website, http://www.itl.nist.gov/iad/mig/tests/tdtltasks/detech.html.
-
-
-
-
5
-
-
0032264627
-
A study on retrospective and online event detection
-
Y. M. Yang, J. Pierce and J. Carbonell, A study on retrospective and online event detection, Proceedings of the 21st Annual International ACM SIGTR Conference, Melbourne, Australia, pp. 28-36,1998.
-
(1998)
Proceedings of the 21st Annual International ACM SIGTR Conference, Melbourne, Australia
, pp. 28-36
-
-
Yang, Y.M.1
Pierce, J.2
Carbonell, J.3
-
6
-
-
0242456762
-
Topic-conditioned novelty detection
-
Y. M. Yang, J. Zhang, J. Carbonell and C. Jin, Topic-conditioned novelty detection, Proceedings of the eighth ACM SIGKDD International Conference on Knowledge discovery and data mining, pp. 688-693, 2002.
-
(2002)
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 688-693
-
-
Yang, Y.M.1
Zhang, J.2
Carbonell, J.3
Jin, C.4
-
7
-
-
34548060585
-
Named entity: History and future
-
Technical report
-
S. Sekine, Named entity: History and future, Technical report, Proteus Project Report, 2004.
-
(2004)
Proteus Project Report
-
-
Sekine, S.1
-
8
-
-
78149354471
-
Online topic detection and tracking of financial news based on hierarchical clustering
-
July
-
X. Y. Dai, Q. C. Chen, X. L. Wang and J. Xu, Online topic detection and tracking of financial news based on hierarchical clustering, Proceedings of the Ninth International Conference on Machine Learning and Cybernetics, pp. 11-14, July 2010.
-
(2010)
Proceedings of the Ninth International Conference on Machine Learning and Cybernetics
, pp. 11-14
-
-
Dai, X.Y.1
Chen, Q.C.2
Wang, X.L.3
Xu, J.4
-
9
-
-
36448962321
-
New event detection based on indexing-tree and named entity
-
Z. Kuo, L. J. Zi, W. Gang, New event detection based on indexing-tree and named entity, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 215-222, 2007.
-
(2007)
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 215-222
-
-
Kuo, Z.1
Zi, L.J.2
Gang, W.3
-
10
-
-
33750448342
-
Hierarchical topic detection in large digital news archives Exploring a sample based approach
-
D. Trieschnigg, W. kraaij, Hierarchical topic detection in large digital news archives Exploring a sample based approach, Journal of Digital Information Management, Vol. 3, 2005.
-
(2005)
Journal of Digital Information Management
, vol.3
-
-
Trieschnigg, D.1
Kraaij, W.2
-
11
-
-
33846543277
-
Topic discovery based on text mining techniques
-
A. P. Porrata, R. B. Llavori, J. R. Shulcloper, Topic discovery based on text mining techniques, Information Processing and Management, pp. 752-768,2007.
-
(2007)
Information Processing and Management
, pp. 752-768
-
-
Porrata, A.P.1
Llavori, R.B.2
Shulcloper, J.R.3
-
13
-
-
2442439674
-
A comparison of document clustering techniques
-
August
-
M. Steinbach, G. Karypis, V. Kumar, A comparison of document clustering techniques.KDD-2000 Workshop on Text Mining, Boston, MA, USA, pp.1-20, August 2000.
-
(2000)
KDD-2000 Workshop on Text Mining, Boston, MA, USA
, pp. 1-20
-
-
Steinbach, M.1
Karypis, G.2
Kumar, V.3
-
14
-
-
84863120606
-
An adaptive topic tracking model based on 3-Dimension document vector
-
Sep
-
Z. Hui, Z. Jingmin, W. Liang, Z. Liping, An adaptive topic tracking model based on 3-Dimension document vector, Journal of chinese information processing, Vol. 24, No. 5, Sep 2010.
-
(2010)
Journal of Chinese Information Processing
, vol.24
, Issue.5
-
-
Hui, Z.1
Jingmin, Z.2
Liang, W.3
Liping, Z.4
-
15
-
-
33847285462
-
Time adaptive boosting model for topic tracking
-
H. Wang, J. Zhu, D. Ji, N. Ye and B. Zhang, Time adaptive boosting model for topic tracking, In Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, pp.488-492, 2005.
-
(2005)
Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering
, pp. 488-492
-
-
Wang, H.1
Zhu, J.2
Ji, D.3
Ye, N.4
Zhang, B.5
-
16
-
-
78649287985
-
Use relative weight to improve the kNN for unbalanced text category
-
X. Liu, F. Ren, C. Yuan, Use relative weight to improve the kNN for unbalanced text category, In Proceeding of 2010 IEEE International Conference on Natural Language Processing and Knowledge Engineering, pp.1-5, 2010.
-
(2010)
Proceeding of 2010 IEEE International Conference on Natural Language Processing and Knowledge Engineering
, pp. 1-5
-
-
Liu, X.1
Ren, F.2
Yuan, C.3
|