An object-oriented approach to database system implementation
ACM Transactions on Database Systems (TODS)
Human factors comparison of a procedural and a nonprocedural query language
ACM Transactions on Database Systems (TODS)
ACM Transactions on Database Systems (TODS)
SIGMOD '81 Proceedings of the 1981 ACM SIGMOD international conference on Management of data
Principles of Database Conceptual Design
Proceedings of the NYU Symposium on Data Base Design Techniques I: Requirements and Logical Structures
Data abstraction from a programming language viewpoint
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling
Programming with abstract data types
Proceedings of the ACM SIGPLAN symposium on Very high level languages
A functional model for macro-databases
ACM SIGMOD Record
Mefisto: A Functional Model for Statistical Entities
IEEE Transactions on Knowledge and Data Engineering
Molecular Objects, Abstract Data Types, and Data Models: A Framework
VLDB '84 Proceedings of the 10th International Conference on Very Large Data Bases
Logical and physical modeling of statistical scientific databases
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
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A Scientific and Statistical DBMS needs to recognize a greater variety of data types than those currently supported by conventional DBMSs. Using the concept of abstract data types, we propose a set of extended data types (Complex Data Types) to be supported directly by the DBMS. The Complex Data Types presently recognized include: set, vector, ordered set, matrix, time, time series, text, and generalized relation. A data manipulation language designed specifically for scientific and statistical data processing is presented using these types as a basis.