Internet users' psychosocial attention prediction: Web hot topic prediction based on adaptive AR model

Proceedings of the International Conference on Computer Science and Information Technology, ICCSIT 2008

Volumn , Issue , 2008, Pages 458-462

  Tong, Hengqing ^a   Liu, Yang ^a   Peng, Hui ^a   Tang, Jing ^a  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTERS; CURVE FITTING; FORECASTING; INFORMATION MANAGEMENT; INFORMATION TECHNOLOGY; INTERNET; NEURAL NETWORKS; PARAMETER ESTIMATION; WORLD WIDE WEB;

AR MODELS; INTERNET USERS; PARAMETER ESTIMATION ALGORITHMS; PREDICTION MODELS; REAL DATUMS; SHORT-COMINGS; STATISTICAL PROPERTIES; WEB DATA MININGS;

MATHEMATICAL MODELS;

EID: 57849084803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSIT.2008.53     Document Type: Conference Paper

References (9)

1. W. F. Jin, H. Topic detection in broadcastnews. Proceedings of the DARPA Broadcast News Workshop, Herndon, VA, 1999.
2. D. Ayhan. On analyzing web log data: a parallel sequence mining algorithm. New Generation of Data Mining Applications, pages 25-27, 1999.
3. J. W. Lehnert. Information extraction. Communications of the ACM, (39):80-91, 2001.
4. K. A. Tan. Topic detection, tracking and trend analysis using self-organizing neural networks. Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 102-107, 2001.
5. D. Tan. Inverse of partitioned matrix and its applications. Journal of Sichuan University, 36(1):34-37, 1999.
6. Frantisek. Predictions in Time Series using Regression Models. SPringer-Verlag, 2002.
7. AndrewHarvey. The Econometric Analysis of Time Series. The MIT Press, 1990.
8. H. Meng and W. Lam. Multilingual topic detection using a parallel corpus.
9. Z. GP. Time series forecasting using a hybrid arima and neural network model.