Compressed data cubes for OLAP aggregate query approximation on continuous dimensions
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A survey of logical models for OLAP databases
ACM SIGMOD Record
Building the Data Warehouse
Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes
IEEE Transactions on Knowledge and Data Engineering
A Logical Approach to Multidimensional Databases
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Modeling Multidimensional Databases
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Modeling Multidimensional Databases, Cubes and Cube Operations
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Querying Multidimensional Databases
DBLP-6 Proceedings of the 6th International Workshop on Database Programming Languages
Finding Your Way through Multidimensional Data Models
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
A multidimensional model representing continuous fields in spatial data warehouses
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Physical design and implementation of spatial data warehouses supporting continuous fields
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
Towards a model for the multidimensional analysis of field data
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
A generic data model and query language for spatiotemporal OLAP cube analysis
Proceedings of the 15th International Conference on Extending Database Technology
When Spatial Analysis Meets OLAP: Multidimensional Model and Operators
International Journal of Data Warehousing and Mining
Spatial OLAP and Map Generalization: Model and Algebra
International Journal of Data Warehousing and Mining
Modeling and Querying Continuous Fields with OLAP Cubes
International Journal of Data Warehousing and Mining
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Multidimensional structures or hypercubes are commonly used in OLAP to store and organize data to optimize query response time. The multidimensional approach is based on the concept of facts analyzed with respect to various dimensions. Dimensions are seen as axes of analysis forming a vector space in which each cell is located by a set of coordinates. In conventional multidimensional structures, dimensions have discrete values and are organized in different levels of hierarchies. However, when analysing natural phenomena like meteorology or pollution the discrete structures are not adequate. We will introduce mechanisms, based on interpolation, to spatial and temporal dimensions which will give the user the impression of navigating in a continuous hypercube. In this paper we go over the research issues associated with continuous multidimensional structures, we give some of their potentials and we propose a multidimensional model and some operations used for an OLAP of field-based data.