Statistical and Scientific Database Issues
IEEE Transactions on Software Engineering
Statistical Database Query Languages
IEEE Transactions on Software Engineering
A temporally oriented data model
ACM Transactions on Database Systems (TODS)
Statistical relational tables for statistical database management
IEEE Transactions on Software Engineering
Query generalization: a method for interpreting null answers
Proceedings from the first international workshop on Expert database systems
The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
Adding time dimension to relational model and extending relational algebra
Information Systems
Extending the relational algebra to support transaction time
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
A homogeneous relational model and query languages for temporal databases
ACM Transactions on Database Systems (TODS)
Defining data types in a database language
ACM SIGMOD Record
Extending relational algebra to manipulate temporal data
Information Systems
Time-by-Example Query Language for Historical Databases
IEEE Transactions on Software Engineering
SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
On an algebra for historical relational databases: two views
SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
View indexing in relational databases
ACM Transactions on Database Systems (TODS)
Formal semantics for time in databases
ACM Transactions on Database Systems (TODS)
Equivalence of Relational Algebra and Relational Calculus Query Languages Having Aggregate Functions
Journal of the ACM (JACM)
Incorporation of units into programming languages
Communications of the ACM
Extensions to SQL for Historical Databases
IEEE Transactions on Knowledge and Data Engineering
Incremental Implementation Model for Relational Databases with Transaction Time
IEEE Transactions on Knowledge and Data Engineering
A Statistical Interface for Historical Relational Databases
Proceedings of the Third International Conference on Data Engineering
The Historical Relational Data Model (HRDM) and Algebra Based on Lifespans
Proceedings of the Third International Conference on Data Engineering
Alpha: An Extension of Relational Algebra to Express a Class of Recursive Queries
Proceedings of the Third International Conference on Data Engineering
VLDB '86 Proceedings of the 12th 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 role of time in information processing: a survey
ACM SIGMOD Record
System development (Prentice-Hall International series in computer science)
System development (Prentice-Hall International series in computer science)
An Architecture for High Performance Engineering Information Systems
IEEE Transactions on Software Engineering
On the semantics of “now” in databases
ACM Transactions on Database Systems (TODS)
Applying temporal databases to HLA data collection and analysis
Proceedings of the 30th conference on Winter simulation
Using differential techniques to efficiently support transaction time
The VLDB Journal — The International Journal on Very Large Data Bases
Temporal Specialization and Generalization
IEEE Transactions on Knowledge and Data Engineering
Temporal and Real-Time Databases: A Survey
IEEE Transactions on Knowledge and Data Engineering
Efficient Differential Timeslice Computation
IEEE Transactions on Knowledge and Data Engineering
Auditing a database under retention policies
The VLDB Journal — The International Journal on Very Large Data Bases
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A data model that allows for the storage of detailed change history in so-called backlog relations is described. Its extended relational algebra, in conjunction with the extended data structures, provides a powerful tool for the retrieval of patterns and exceptions in change history. An operator, Sigma , based on the notion of compact active domain is introduced. It groups data not in predefined groups but in groups that fit the data. This operator further expands the retrieval capabilities of the algebra. The expressive power of the algebra is demonstrated by examples, some of which show how patterns and exceptions in change history can be detected. Sample applications of this work are statistical and scientific databases, monitoring (of databases, manufacturing plants, power plants, etc.), CAD, and CASE.