The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
Efficient computation of temporal aggregates with range predicates
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
Temporal Triggers in Active Databases
IEEE Transactions on Knowledge and Data Engineering
Temporal Aggregation over Data Streams Using Multiple Granularities
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Modeling and Querying Moving Objects
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Indexing Spatio-Temporal Data Warehouses
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Spatio-Temporal Aggregation Using Sketches
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Spatiotemporal Aggregate Computation: A Survey
IEEE Transactions on Knowledge and Data Engineering
SECONDO: An Extensible DBMS Platform for Research Prototyping and Teaching
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Probabilistic data modeling and querying for location-based data warehouses
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Modeling and querying moving objects in networks
The VLDB Journal — The International Journal on Very Large Data Bases
OLAP over uncertain and imprecise data
The VLDB Journal — The International Journal on Very Large Data Bases
Microsoft SQL Server 2005 Analysis Services (SQL Server Series)
Microsoft SQL Server 2005 Analysis Services (SQL Server Series)
Multi-dimensional aggregation for temporal data
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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Sequenced queries are queries that are conceptually evaluated at each time instant. Therefore, this kind of queries return functions of time. Some applications (e.g., traffic analysis) need support for sequenced queries on data about continuous changes. Current temporal OLAP technology does not support this type of queries. Existing TOLAP models and algebras are based on discrete time. Hence, they can not represent data and query about continuous changes (i.e., continuous functions of time). In this paper, we propose a conceptual multidimensional model, CT-OLAP, that captures continuous functions of time. Its associated algebra supports sequenced analytical queries. CT-OLAP extends an existing powerful multidimensional model and algebra. CT-OLAP can be implemented in the Secondo DBMS. The motivation for this work is based on the requirements to a tool for traffic jam analysis formulated by the Municipality of Bozen-Bolzano, Italy.