Statistical and Scientific Database Issues
IEEE Transactions on Software Engineering
ACM Transactions on Database Systems (TODS)
PODS '91 Proceedings of the tenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A universal-scheme approach to statistical databases containing homogeneous summary tables
ACM Transactions on Database Systems (TODS)
A language and a physical organization technique for summary tables
SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
Mefisto: A Functional Model for Statistical Entities
IEEE Transactions on Knowledge and Data Engineering
A Statistical Interface for Historical Relational Databases
Proceedings of the Third International Conference on Data Engineering
Metadata Management for Large Statistical Databases
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
A Model of Summary Data and its Applications in Statistical Databases
Proceedings of the 4th International Working Conference SSDBM on Statistical and Scientific Database Management
Proposal of a logical model for statistical data base
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
SUBJECT: a directory driven system for organizing and accessing large statistical databases
VLDB '81 Proceedings of the seventh international conference on Very Large Data Bases - Volume 7
The aggregate data problem: a system for their definition and management
ACM SIGMOD Record
Multidimensional databases
Multidimensional databases
Conceptual multidimensional models
Multidimensional databases
Operators for multidimensional aggregate data
Multidimensional databases
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Aggregate data are obtained by applying statistical aggregations and statistical analysis functions over raw data. We believe that a major adherence of aggregate data to the process that generates them can make their modeling simpler and more effective. In this paper we propose a formal description of the aggregation process and derive from this description a data structure for the representation of aggregate data. Several new concepts are introduced, in particular the implicit attributes, and an extension of the aggregation operator, called the generalized summarization. We also show that the introduced data structure allows us to identify in a simple way the population of a statistical object.