Language features for flexible handling of exceptions in information systems
ACM Transactions on Database Systems (TODS)
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Multivalued dependencies and a new normal form for relational databases
ACM Transactions on Database Systems (TODS)
Independent components of relations
ACM Transactions on Database Systems (TODS)
Partition semantics for relations
PODS '85 Proceedings of the fourth ACM SIGACT-SIGMOD symposium on Principles of database systems
Principles of Database and Knowledge-Base Systems: Volume II: The New Technologies
Principles of Database and Knowledge-Base Systems: Volume II: The New Technologies
Horizontal decompositions in the relational database model
Horizontal decompositions in the relational database model
Theory of Relational Databases
Theory of Relational Databases
On approximation measures for functional dependencies
Information Systems - Special issue: ADBIS 2002: Advances in databases and information systems
Extending and inferring functional dependencies in schema transformation
Proceedings of the thirteenth ACM international conference on Information and knowledge management
The measures relationships study of three soft rules based on granular computing
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
“Rule + exception” strategies for knowledge management and discovery
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
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This paper introduces a new approach to database design theory. It presents the concept of partial functional dependency in the relational database framework. This new kind of dependency is an extension to the classical definition of functional dependency. The extension is carried out following two basic ideas. First, the new dependency works over relations (not over schemes). And, second, a relation can partially verify a classical dependency in the sense that only some tuples, called exceptions, break the dependency. Throughout this work, we use that dependency to decompose relations through a more flexible and general decomposition process, and by iterating this process, we find a mechanism to extract knowledge from the original relation. We also give algorithms to implement usual operations and relational system maintenance.