Correlation analysis of spatial time series datasets: A filter-and-refine approach

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2637, Issue , 2003, Pages 532-544

  Zhang, Pusheng ^a   Huang, Yan ^a   Shekhar, Shashi ^a   Kumar, Vipin ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA ACQUISITION; TIME SERIES ANALYSIS;

CORRELATION ANALYSIS; EARTH SCIENCE DATASETS; SPATIAL NETWORK; SPATIAL TIME SERIES DATASETS;

CORRELATION METHODS;

EID: 7444259111     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. R. Agrawal, C. Faloutsos, and A. Swami. Efficient Similarity Search In Sequence Databases. In Proc. of the 4th Int'l Conference of Foundations of Data Organization and Algorithms, 1993.
2. G. Box, G. Jenkins, and G. Reinsel. Time Series Analysis: Forecasting and Control. Prentice Hall, 1994.
3. B.W. Lindgren. Statistical Theory (Fourth Edition). Chapman-Hall, 1998.
4. K. Chan and A. W. Fu. Efficient Time Series Matching by Wavelets. In Proc. of the 15th ICDE, 1999.
5. N. Cressie. Statistics for Spatial Data. John Wiley and Sons, 1991.
6. Christos Faloutsos. Searching Multimedia Databases By Content. Kluwer Academic Publishers, 1996.
7. R. Grossman, C. Kamath, P. Kegelmeyer, V. Kumar, and R. Namburu, editors. Data Mining for Scientific and Engineering Applications. Kluwer Academic Publishers, 2001.
8. D. Gunopulos and G. Das. Time Series Similarity Measures and Time Series Indexing. SIGMOD Record, 30(2): 624-624, 2001.
9. J. Han and M. Kamber. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, 2000.
10. E. Keogh and M. Pazzani. An Indexing Scheme for Fast Similarity Search in Large Time Series Databases. In Proc. of 11th Int'l Conference on Scientific and Statistical Database Management, 1999.
11. Y. Moon, K. Whang, and W. Han. A Subsequence Matching Method in TimeSeries Databases Based on Generalized Windows. In Proc. of ACM SIGMOD, Madison, WI, 2002.
12. C. Potter, S. Klooster, and V. Brooks. Inter-annual Variability in Terrestrial Net Primary Production: Exploration of Trends and Controls on Regional to Global Scales. Ecosystems, 2(1): 36-48, 1999.
13. J. Roddick and K. Hornsby. Temporal, Spatial, and Spatio-Temporal Data Mining. In First Int'l Workshop on Temporal, Spatial and Spatio-Temporal Data Mining, 2000.
14. S. Shekhar and S. Chawla. Spatial Databases: A Tour. Prentice Hall, 2002.
15. S. Shekhar, S. Chawla, S. Ravada, A. Fetterer, X. Liu, and C.T. Lu. Spatial databases: Accomplishments and research needs. IEEE Transactions on Knowledge and Data Engineering, 11(1): 45-55, 1999.
16. M. Steinbach, P. Tan, V. Kumar, C. Potter, S. Klooster, and A. Torregrosa. Data Mining for the Discovery of Ocean Climate Indices. In Proc of the Fifth Workshop on Scientific Data Mining, 2002.
17. P. Tan, M. Steinbach, V. Kumar, C. Potter, S. Klooster, and A. Torregrosa. Finding Spatio-Temporal Patterns in Earth Science Data. In KDD 2001 Workshop on Temporal Data Mining, 2001.
18. G. H. Taylor. Impacts of the El Niño/Southern Oscillation on the Pacific Northwest. http://www.ocs.orst.edu/reports/ensopnw.html.
19. Michael F. Worboys. GIS - A Computing Perspective. Taylor and Francis, 1995.