Mixed-drove spatiotemporal co-occurrence pattern mining

IEEE Transactions on Knowledge and Data Engineering

Volumn 20, Issue 10, 2008, Pages 1322-1335

  Celik, Mete ^a,b   Shekhar, Shashi ^a,b   Rogers, James P ^c   Shine, James A ^c  

^a IEEE

^b University of Minnesota   (United States)

^c Topographic Engineering Center   (United States)

Author keywords

Composite interest measure; Mixed drove spatiotemporal co occurrence pattern; Spatiotemporal co occurrence pattern mining; Spatiotemporal data mining

Indexed keywords

CO-OCCURRENCE PATTERNS; COMPOSITE INTEREST MEASURE; MIXED-DROVE SPATIOTEMPORAL CO-OCCURRENCE PATTERN; SPATIOTEMPORAL CO-OCCURRENCE PATTERN MINING; SPATIOTEMPORAL DATA MINING;

CHLORINE COMPOUNDS;

MINING;

EID: 50649105275     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2008.97     Document Type: Article

References (30)

1. A. Brix and P.J. Diggle, "Spatio-Temporal Prediction for Log-Gaussian Cox Processes," J. Royal Statistical Soc., vol. 63, no. 10, pp. 823-841, 2001.
2. R. Agrawal and R. Srikant, "Fast Algorithms for Mining Association Rules," Proc. 20th Int'l Conf. Very Large Data Bases (VLDB), 1994.
3. S. Banerjee, B.P. Carlin, and A.E. Gelfrand, Hierarchical Modeling and Analysis for Spatial Data. CRC Press, 2003.
4. H. Cao, N. Mamoulis, and D.W. Cheung, "Discovery of Collocation Episodes in Spatiotemporal Data," Proc. Sixth IEEE Int'l Conf. Data Mining (ICDM '06), pp. 823-827, 2006.
5. M. Celik, S. Shekhar, J.P. Rogers, J.A. Shine, and J.S. Yoo, "Mixed-Drove Spatio-Temporal Co-Occurrence Pattern Mining: A Summary of Results," Proc. Sixth IEEE Int'l Conf. Data Mining (ICDM '06), pp. 119-1287, 2006.
6. M. Celik, S. Shekhar, J.P. Rogers, and J.A. Shine, "Mixed-Drove Spatio-Temporal Co-Occurrence Pattern Mining," technical report, Computer Science Dept., Univ. of Minnesota, pp. 08-015, 2008.
7. N.A.C. Cressie, Statistics for Spatial Data. Wiley, 1993.
8. C.W.C. Granger, "Time Series Analysis, Cointegration, and Applications," Nobel Prize Lecture, Paper 2004-02, Dept. of Economics, Univ. of California, San Diego, 2004.
9. J. Gudmundsson and M.v. Kreveld, "Computing Longest Duration Flocks in Trajectory Data," Proc. 14th Ann. ACM Int'l Symp. Geographic Information Systems (ACM-GIS '06), pp. 35-42, 2006.
10. J. Gudmundsson, M.v. Kreveld, and B. Speckmann, "Efficient Detection of Motion Patterns in Spatio-Temporal Data Sets," Proc. 12th Ann. ACM Int'l Workshop Geographic Information Systems (ACM-GIS '04), pp. 250-257, 2004.
11. R.H. Guting and M. Schneider, Moving Object Databases. Morgan Kaufmann, 2005.
12. M. Hadjieleftheriou, G. Kollios, P. Bakalov, and V.J. Tsotras, "Complex Spatio-Temporal Pattern Queries," Proc. 31st Int'l Conf. Very Large Data Bases (VLDB '05), pp. 877-888, 2005.
13. Y. Huang, S. Shekhar, and H. Xiong, "Discovering Co-Location Patterns from Spatial Datasets: A General Approach," IEEE Trans. Knowledge and Data Eng., vol. 16, no. 12, pp. 1472-1485, Dec. 2004.
14. P. Kalnis, N. Mamoulis, and S. Bakiras, "On Discovering Moving Clusters in Spatio-Temporal Data," Proc. Ninth Int'l Symp. Spatial and Temporal Databases (SSTD), 2005.
15. M. Koubarakis, T.K. Sellis, A.U. Frank, S. Grumbach, R.H. Guting, C.S. Jensen, N.A. Lorentzos, Y. Manolopoulos, E. Nardelli, B. Pernici, H.J. Schek, M. Scholl, B. Theodoulidis, and N. Tryfona, "Spatio-Temporal Databases: The Chorochronos Approach," Lecture Notes in Computer Science, vol. 2520, 2003.
16. P. Laube and S. Imfeld, "Analyzing Relative Motion within Groups of Trackable Moving Point Objects," Proc. Second Int'l Conf. Geographic Information Science (GIScience '02), pp. 132-144, 2002.
17. P. Laube, M.v. Kreveld, and S. Imfeld, "Finding REMO-Detecting Relative Motion Patterns in Geospatial Lifelines," Proc. 11th Int'l Symp. Spatial Data Handling (SDH '04), pp. 201-214, 2004.
18. J. Ma, D. Zeng, and H. Chen, "Spatial-Temporal Cross-Correlation Analysis: A New Measure and a Case Study in Infectious Disease Informatics," Proc. IEEE Int'l Conf. Intelligence and Security Informatics (ISI '06), pp. 542-547, 2006.
19. C. Mouza and P. Rigaux, "Mobility Patterns," GeoInformatica, vol. 9, no. 4, pp. 297-319, 2005.
20. B.D. Ripley, Spatial Statistics. Wiley, 1981.
21. O. Schabenberger and C.A. Gotway, Statistical Methods for Spatial Data Analysis. Chapman and Hall, 2004.
22. S. Shekhar, Y. Huang, and H. Xiong, "Discovering Spatial CoLocation Patterns: A Summary of Results," Proc. Seventh Int'l Symp. Spatial and Temporal Databases (SSTD '01), pp. 236-256, 2001.
23. Proc. First Int'l Workshop Spatial and Spatio-Temporal Data Mining (SSTDM '06), in conjunction with the Sixth IEEE Int'l Conf. Data Mining (ICDM), 2006.
24. J. Wang, W. Hsu, and M.L. Lee, "A Framework for Mining Topological Patterns in Spatio-Temporal Databases," Proc. ACM 14th Conf. Information and Knowledge Management (CIKM '05), pp. 429-436, 2005.
25. W.W.S. Wei, Time Series Analysis: Univariate and Multivariate Methods. Addison Wesley, 2005.
26. H. Yang, S. Parthasarathy, and S. Mehta, "A Generalized Framework for Mining Spatio-Temporal Patterns in Scientific Data," Proc. 11th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD '05), pp. 716-721, 2005.
27. J.S. Yoo and S. Shekhar, "A Partial Join Approach for Mining Co-Location Patterns," Proc. 12th Ann. ACM Int'l Workshop Geographic Information Systems (ACM-GIS), 2005.
28. J.S. Yoo and S. Shekhar, "A Joinless Approach for Mining Spatial Colocation Patterns," IEEE Trans. Knowledge and Data Eng., vol. 18, no. 10, Oct. 2006.
29. J.S. Yoo, S. Shekhar, and M. Celik, "A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results," Proc. Fifth IEEE Int'l Conf. Data Mining (ICDM), 2005.
30. X. Zhang, N. Mamoulis, D.W. Cheung, and Y. Shou, "Fast Mining of Spatial Collocations," Proc. 10th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD '04), pp. 384-393, 2004.