ACM Transactions on Database Systems (TODS)
Database abstractions: aggregation and generalization
ACM Transactions on Database Systems (TODS)
Database abstractions: aggregation
Communications of the ACM
Intentional resolution of privacy protection in database systems
Communications of the ACM
Cryptography and data security
Cryptography and data security
An Introduction to Database Systems
An Introduction to Database Systems
Summary-Table-By-Example: A Database Query Language for Manipulating Summary Data
Proceedings of the First International Conference on Data Engineering
GUIDE: Graphical User Interface for Database Exploration
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
Metadata Management for Large Statistical Databases
VLDB '82 Proceedings of the 8th 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
Additional facilities of a concentional DBMS to support interactive statistical analysis
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
Design of the genealogical information system
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
Characteristics and evolution of the OSIRIS data definition languages
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
Abe: a query language for constructing aggregates-by-example
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
Update handling techniques in statistical databases
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
ACM Transactions on Database Systems (TODS)
Query processing techniques in the summary-table-by-example database query language
ACM Transactions on Database Systems (TODS)
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We list desirable features of statistical databases (SDB) and summarize the architecture and major features of a statistical database manaqement system, called the System for Statistical Databases (SSDB). SSDB uses a semantic data model populations such as experimental, cleaned, interpreted and representative populations, and has the capacity to model summary tables, histograms, matrices, crosstabulations, scatter diagrams and two-dimensional plots. The data model uses the compartmentalization concept to minimize the effects of SDB security enforcement. The SSDB software is partitioned into certified and uncertified modules, and the flow of control within SSDB is designed to allow SDB security checking at execution time. Finally SSDB has a screen-oriented query language to manipulate summary and raw data. The paper concludes with a brief overview of the existing and proposed systems.