Probabilistic data modeling and querying for location-based data warehouses

Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM

Volumn , Issue , 2005, Pages 273-282

  Timko, Igor ^a   Dyreson, Curtis E ^b   Pedersen, Torben Bach ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA WAREHOUSES; LOCATION; MANAGEMENT INFORMATION SYSTEMS; QUERY PROCESSING; TELECOMMUNICATION SERVICES;

DYNAMIC CONTENT; LOCATION BASED; MULTIDIMENSIONAL DATA; PROBABILISTIC DATA; SPEED LIMIT; TRANSPORTATION INFRASTRUCTURES; UNCERTAIN DATAS; VEHICLE POSITION;

LOCATION BASED SERVICES;

EID: 34547613246     PISSN: 10993371     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. D. Barbara, et al. The Management of Probabilistic Data. TKDE 4(5):487-502, 1992.
2. R. Cavallo and M. Pittarelli. The Theory of Probabilistic Databases. In Proc. VLDB, pp. 71-81, 1987.
3. M. H. DeGroot andM. J. Schervish. Probability and Statistics. Addison-Wesley, 816 pp., 2002.
4. R. Cheng, et al. Querying Imprecise Data in Moving Object Environments. TKDE 16(9):1112-1127, 2004.
5. R. Cheng, et al. Evaluating Probabilistic Queries over Imprecise Data. In Proc. SIGMOD, x, 2003.
6. N. Dalvi and D. Suciu. Efficient Query Evaluation on Probabilistic Databases. In Proc. VLDB, pp. 864-875, 2004.
7. Euman. www.euman.com(in Danish). Current as of 2/1/05.
8. E. Gelenbe and G. Hebrail. A Probability Model of Uncertainty in Data Bases. In Proc. ICDE, pp. 328-333, 1986.
9. R. H. Güting, et al. A Foundation for Representing and Querying Moving Objects. ACM TODS 25(1):1-42, 2000.
10. C. Hage, et al. Integrated Data Management for Mobile Services in the RealWorld. In Proc. VLDB, pp. 1019-1031, 2003.
11. R. Jacobson. Microsoft SQL Server 2000 Analysis Services Step By Step. Microsoft Press, 400 pages, 2000.
12. C. S. Jensen et al. Multidimensional Data Modeling for Location-Based Services. The VLDB Journal 13(1):1-21, 2004.
13. R. Kimball et al. The DataWarehouse Lifecycle Toolkit. Wiley Computer Publishing, 800 pages, 1998.
14. A. Klug. Equivalence of Relational Algebra and Relational Calculus Query Languages Having Aggregate Functions. J. ACM 29(3):699-717, 1982.
15. B. R. Moole. A Probabilistic Multidimensional Data Model and Algebra for OLAP in Decision Support Systems. In Proc. IEEE SoutheastCon, pp. 18-30, 2003.
16. C. Murray. Oracle spatial user guide and reference, Release 9.2. Oracle Corporation, 2002.
17. NCHRP. A Generic Data Model for Linear Referencing Systems. Transportation Research Board, Washington, DC, 28 pp., 1997.
18. Oracle Corporation. Oracle9i Business Intelligence. In: otn.oracle.com/products/bi/content.html. Current as of 2/1/05.
19. D. Papadias et al. Query Processing in Spatial Network Databases. In Proc. VLDB, pp. 802-813, 2003.
20. T. B. Pedersen et al. A Foundation for Capturing and Querying Complex Multidimensional Data. Information Systems 26(5):383-423, 2001.
21. T. B. Pedersen and N. Tryfona. Pre-aggregation in Spatial Data Warehouses. In Proc. SSTD, pp. 460-478, 2001.
22. S. Šaltenis et al. Indexing the Positions of Continuously Moving Objects. In Proc. ACM SIGMOD, pp. 331-342, 2000.
23. L. Speičys et al. Computational Data Modeling for Network- Constrained Moving Objects. In Proc. ACM GIS, pp. 118- 125, 2003.
24. J. Sun et al. Querying about the Past, the Present and the Future in Spatio-Temporal Databases. In Proc. ICDE, pp. 202- 213, 2004.
25. Y. Tao et al. Spatio-Temporal Aggregation Using Sketches. In Proc. ICDE, pp. 214-226, 2004.
26. I. Timko and T. B. Pedersen. Capturing Complex Multidimensional Data in Location-Based Data Warehouses. In Proc. ACM GIS, pp. 147-156, 2004.
27. I. Timko, et al. Probabilistic Data Modeling and Querying for Location-Based Data Warehouses. www.cs.auc.dk/DBTR, 2005.
28. G. Trajcevski. Probabilistic Range Queries in Moving Object Databases with Uncertainty. In Proc. MobiDE, pp. 39-45, 2003.
29. G. Trajcevski et al. The Geometry of Uncertainty in Moving Objects Databases. In Proc. EDBT, pp. 233-250, 2002.
30. D. Zhang et al. Efficient Aggregation over Objects with Extent. In Proc. PODS, pp. 121-132, 2002.
31. D. Zhang, et al. Temporal and Spatio-Temporal Aggregations over Data Streams Using Multiple Time Granularities. Information Systems 28(1-2): 61-84, 2003.