A set of aggregation functions for spatial measures

DOLAP: Proceedings of the ACM International Workshop on Data Warehousing and OLAP

Volumn , Issue , 2008, Pages 25-32

  Silva, Joel Da ^a   Times, Valéria C ^a   Salgado, Ana Carolina ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Aggregation functions; GDW; SOLAP; Spatial measures

Indexed keywords

AGGREGATION FUNCTIONS; DATA CUBE; GDW; GEOGRAPHIC DATA; INTEGRATED ENVIRONMENT; MULTI-DIMENSIONAL QUERIES; SOLAP; SPATIAL MEASURES; SPATIAL OLAP;

KNOWLEDGE MANAGEMENT; QUERY LANGUAGES; SET THEORY;

DATA WAREHOUSES;

EID: 70349427509     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1458432.1458438     Document Type: Conference Paper

References (32)

1. Y. Bedard, T. Merrett, and J. Han. Geographic Data Mining and Knowledge Discovery, chapter Fundamentals of Spatial Data Warehousing for Geographic Knowledge Discovery, pages 53-73. Taylor and Francis, 2001.
2. S. Bimonte, A. Tchounikine, and M. Miquel. Geocube, a multidimensional model and navigation operators handling complex measures: Application in spatial olap. In ADVIS, pages 100-109, 2006.
3. M. L. Damiani and S. Spaccapietra. Spatial Data Warehouse Modelling, pages 21-27. Processing and Managing Complex Data for Decision Support. Idea Group Publishing, Hershey, PA, USA, April 2006.
4. M. J. Egenhofer and J. R. Herring. Categorizing binary topological relationships between regions, lines and points in geographic databases. Technical report, Department of Surveying Engineering, University of Maine, 1991.
5. A. Escribano, L. Gomez, B. Kuijpers, and A. A. Vaisman. Piet: a gis-olap implementation. In ACM tenth international workshop on Data warehousing and OLAP, pages 73-80, New York, NY, USA, 2007. ACM.
6. R. N. Fidalgo, V. C. Times, J. Silva, and F. Fonseca. Geodwframe: A framework for guiding the design of geographical dimensional schemas. In Data Warehousing and Knowledge Discovery (DaWaK), pages 26-37, 2004.
7. R. K. Goyal and M. J. Egenhofer. Cardinal directions between extended spatial objects. IEEE Transactions on Knowledge and Data Engineering, 2000.
8. J. Gray, S. Chaudhuri, A. Bosworth, A. Layman, D. Reichart, M. Venkatrao, F. Pellow, and H. Pirahesh. Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals. Data Mining and Knowledge Discovery, 1(1):29-53, 1997.
9. J. Han. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2005.
10. JPF. http://jpf.sourceforge.net/, Last Visit Feb 2008.
11. JRubik. http://rubik.sourceforge.net/jrubik/, Feb 2008.
12. R. Kimball. The Data Warehouse Toolkit. John Wiley, 1996.
13. E. Malinowski and E. Zimanyi. Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications). Springer Publishing Company, Incorporated, 2008.
14. E. Malinowski and E. Zimányi. Requirements specification and conceptual modeling for spatial data warehouses. In Proc. of the On The Move Federated Conferences and Workshops, OTM, pages 1616-1625, 2006.
15. OGC. Simple features specification for sql - http://portal. opengeospatial.org/files/?artifact-id=829. Technical report, 1999.
16. OpenJUMP. Openjump, http://openjump.org/, Feb 2008.
17. T. Pedersen and N. Tryfona. Pre-aggregation in spatial data warehouses. In International Symposium on Advances in Spatial and Temporal Databases, pages 460-480, 2001.
18. Pentaho. Mondrian, http://mondrian.pentaho.org/, Feb 2008.
19. PostgreSQL. Postgresql database, http://www.postgresql.org/, Last Visit Feb 2008.
20. E. Pourabbas. Cooperation with geographic databases. pages 393-432, 2003.
21. P. Ramsey. Introduction to postgis. Technical report, Refractions Research Inc., 2005.
22. P. Rigaux, M. Scholl, and A. Voisard. Spatial databases with application to GIS. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2002.
23. S. Rivest, Y. Bédard, M. Proulx, M. Nadeau, F. Hubert, and J. Pastor. Solap technology: Merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data. Journal of Photogrammetry e Remote Sensing, pages 17-33, 2005.
24. M. C. Sampaio, A. G. de Sousa, and C. de S. Baptista. Towards a logical multidimensional model for spatial data warehousing and olap. In Proceedings of the 9th ACM international workshop on Data warehousing and OLAP, pages 83-90, New York, NY, USA, 2006. ACM Press.
25. M. Scotch and B. Parmanto. Sovat: Spatial olap visualization and analysis tool. In Annual Hawaii International Conference on System Sciences, page 142, 2005.
26. J. Silva, V. C. Times, A. C. Salgado, V. Medeiros, and R. Fidalgo. An open source and web based framework for geographic and multidimensional processing. In ACM SAC ASIIS, pages 63-67, 2006.
27. J. Silva, A. C. Vera, A. Oliveira, R. Fidalgo, A. C. Salgado, and V. Times. Querying geographical datawarehouses with geomdql. In Brazilian Symposium on Databases(SBBD), pages 223-237, 2007.
28. N. Stefanovic, J. Han, and K. Koperski. Object-based selective materialization for efficient implementation of spatial data cubes. In IEEE Transaction on Knowledge and Data Engineering, volume 12, pages 938-958, 2000.
29. Y. Tao and D. Papadias. Historical spatio-temporal aggregation. ACM Trans. Inf. Syst., 23(1):61-102, 2005.
30. V. Times, R. Fidalgo, R. Fonseca, J. Silva, and A. Oliveira. A metamodel for the specification of geographical data warehouses. Annals of Information Systems, http://www.springer.com/series/7573, 2008.
31. Wikipedia. Kmeans - http://en.wikipedia.org/wiki/k-means algorithm, Last Visit Jul 2008.
32. Wikipedia. Voronoi - http://en.wikipedia.org/wiki/voronoi diagram, Last Visit Jul 2008.