Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes
IEEE Transactions on Knowledge and Data Engineering
Selective Materialization: An Efficient Method for Spatial Data Cube Construction
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Multidimensional data modeling for location-based services
The VLDB Journal — The International Journal on Very Large Data Bases
Capturing complex multidimensional data in location-based data warehouses
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Materialized aR-Tree in Distributed Spatial Data Warehouse
Intelligent Data Analysis - Analysis of Symbolic and Spatial Data
Modified R-MVB tree and BTV algorithm used in a distributed spatio-temporal data warehouse
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Extended cascaded star schema and ECOLAP operations for spatial data warehouse
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Cascaded star: a hyper-dimensional model for a data warehouse
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
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In this paper several new aspects of spatial data warehouse modeling are presented. The extended cascaded star schema in spatial distributed data warehouse DSDW was defined. Research proven that there is a strong need for building many SDW's extended cascaded star schemas as an outcome of separate spatio-temporal telemetric conceptual models. For one of these new data schemas, the definitions of cascaded ECOLAP operations were presented. These operations base on a relation algebra, and make possible ad-hoc queries executing.