Incomplete Information in Relational Databases
Journal of the ACM (JACM)
A statistical approach to incomplete information in database systems
ACM Transactions on Database Systems (TODS)
On semantic issues connected with incomplete information databases
ACM Transactions on Database Systems (TODS)
Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
On Databases with Incomplete Information
Journal of the ACM (JACM)
On the Construction of Feedback Queries
Journal of the ACM (JACM)
Principles of Database Systems
Principles of Database Systems
Null values in data base management a denotational semantics approach
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
An evaluation of term dependence models in information retrieval
SIGIR '82 Proceedings of the 5th annual ACM conference on Research and development in information retrieval
Dynamic information and library processing
Dynamic information and library processing
Theory of Relational Databases
Theory of Relational Databases
A decision theoretic approach to information retrieval
ACM Transactions on Database Systems (TODS)
A probabilistic relational model and algebra
ACM Transactions on Database Systems (TODS)
The Management of Probabilistic Data
IEEE Transactions on Knowledge and Data Engineering
A Framework for Analysis of Data Quality Research
IEEE Transactions on Knowledge and Data Engineering
A Decision Model for Choosing the Optimal Level of Storage in Temporal Databases
IEEE Transactions on Knowledge and Data Engineering
Mariposa: a wide-area distributed database system
The VLDB Journal — The International Journal on Very Large Data Bases
Periodic cache replacement policy for dynamic content at application server
Decision Support Systems
Optimal Synchronization Policies for Data Warehouses
INFORMS Journal on Computing
An experimental analysis of the impact of accuracy degradation in SVM classification
International Journal of Computational Intelligence Studies
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This paper presents a methodology for trading-off the cost of incomplete information against the data-related costs in the design of database systems. It investigates how the usage patterns of the database, defined by the characteristics of information requests presented to it, affect its conceptual design. The construction of minimum-cost answers to information requests for a variety of query types and cost structures is also studied. The resulting costs of incomplete database information are balanced against the data-related costs in the derivation of the optimal design.