SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Supporting Imprecision in Multidimensional Databases Using Granularities
SSDBM '99 Proceedings of the 11th International Conference on Scientific and Statistical Database Management
Multidimensional data modeling for location-based services
The VLDB Journal — The International Journal on Very Large Data Bases
Integrating XML Data in the TARGITOLAP System
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Querying the Past, the Present, and the Future
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Evaluating XML-extended OLAP queries based on a physical algebra
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
Capturing complex multidimensional data in location-based data warehouses
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Probabilistic data modeling and querying for location-based data warehouses
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Pre-aggregation with probability distributions
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
Contextualizing data warehouses with documents
Decision Support Systems
Privacy-Preserving Data Mining on Moving Object Trajectories
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
What can hierarchies do for data streams?
BIRTE'06 Proceedings of the 1st international conference on Business intelligence for the real-time enterprises
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Data warehouses (DWs) have become very successful in many enterprises, but only for relatively simple and traditional types of data. It is now time to extend the benefits of DWs to a much wider range of data, making it feasible to literally "warehouse the world". To do this, five unique challenges must be addressed: warehousing data about the physical world, integrating structured, semi-structured, and unstructured data in DWs, integrating the past, the present, and the future, warehousing imperfect data, and ensuring privacy in DW.