Statistical and scientific databases
Statistical and scientific databases
Bibliography on spatiotemporal databases
ACM SIGMOD Record
Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
A query language for multidimensional arrays: design, implementation, and optimization techniques
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Aggregate-Query Processing in Data Warehousing Environments
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Statistical Databases: Characteristics, Problems, and some Solutions
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
The Implementation of Area and Membership Retrievals in Point Geography using SQL
Proceedings of the 5th International Conference SSDBM on Statistical and Scientific Database Management
Extendible Arrays for Statistical Databases and OLAP Applications
SSDBM '96 Proceedings of the Eighth International Conference on Scientific and Statistical Database Management
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
VIDDEL: an object-oriented visual data definition language for statistical data
SSDBM'1992 Proceedings of the 6th international working conference on Scientific and statistical database management
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The project CARLOS (Cancer Registry Lower-Saxony) aims at novel techniques for analysing cancer clusters using advanced database technology to support multidimensional analysis of spatio-temporal related health data. This requires very advanced support capabilities which can not be provided by existing technology. Therefore, new approaches in the fields of spatio-temporal, multi-dimensional and statistical database systems have to be considered to develop an appropriate support architecture. In this paper; we present our experiences and ideas gained in implementing a prototype. Based on these facts, we describe our approach to dynamically create statistical objects over predicate-based aggregates in the course of epidemiological data analysis.