Efficient mining of emerging events in a dynamic spatiotemporal environment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3918 LNAI, Issue , 2006, Pages 750-754

  Meng, Yu ^a   Dunham, Margaret H ^a  

^a Southern Methodist University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA STRUCTURES; MARKOV PROCESSES; ONLINE SYSTEMS;

DATA MINING TECHNIQUE; DYNAMIC MARKOV CHAIN; MULTIDIMENSIONAL TIME VARIANT DATA SERIES; SPATIOTEMPORAL ENVIRONMENT;

DATA MINING;

EID: 33745788385     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11731139_87     Document Type: Conference Paper

References (10)

1. Margaret Dunham, Yu Meng, and Jie Huang, "Extensible Markov Model", ICDM, 2004, pp. 371-374.
2. Aggarwal, Han et al., "A Framework for Clustering Evolving Data Streams", VLDB 2003.
3. Kevin B.Pratt and Gleb Tschapek, "Visualizing Concept Drift", SIGKDD 2003.
4. N. Ye and X.Li, "A Markov Chain Model of Temporal Behavior for Anomaly Detection", Proc. IEEE Systems, Man, and Cybernetics Information Assurance and Security Workshop, 2000.
5. E. Keogh et al., "Finding Surprising Patterns in a Time Series Database in Linear Time and Space", SIGKDD, 2002, pp. 550-556.
6. D. Yu, G. Sheikholeslami, and A. Zhang, "FindOut: Finding Outliers in Very Large Datasets", Knowledge and Information Systems, vol. 4, no. 4, Oct. 2002, pp. 387-412.
7. G.M.Weiss and H.Hirsh, "Learning to Predict Extremely Rare Events", AAAI Workshop Learning from Imbalanced Data Sets, 2000, pp. 64-68.
8. P. Domingos and G. Hulten, "Mining High-speed Data Streams", Knowledge Discovery and Data Mining, pages 71-80, 2000.
9. Gerhard Widmer and Miroslav Kubat, "Learning in the Presence of Concept Drift and Hidden Contexts", Machine Learning, 23, 69-101 (1996).
10. T. Zhang, R. Ramakrishnan, and M. Livny, "BIRCH: A New Data Clustering Algorithm and Its Applications", Data Mining and Knowledge Discovery, 1(2): 141-182, 1997.