Identifying Extended Entity-Relationship Object Structures in Relational Schemas
IEEE Transactions on Software Engineering
Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
The design of relational databases
The design of relational databases
An approach for reverse engineering of relational databases
Communications of the ACM
Reverse engineering of relational databases: extraction of an EER model from a relational database
Data & Knowledge Engineering
A framework for the design and evaluation of reverse engineering methods for relational databases
Data & Knowledge Engineering
Machine Learning - special issue on inductive logic programming
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
A Method for Transforming Relational Schemas Into Conceptual Schemas
Proceedings of the Tenth International Conference on Data Engineering
Towards the Reverse Engineering of Denormalized Relational Databases
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Methods and Problems in Data Mining
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Querying Inductive Databases: A Case Study on the MINE RULE Operator
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
A New SQL-like Operator for Mining Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Reconstruction of ER Schema from Database Applications: a Cognitive Approach
ER '94 Proceedings of the13th International Conference on the Entity-Relationship Approach
Using Queries to Improve Database Reverse Engineering
ER '94 Proceedings of the13th International Conference on the Entity-Relationship Approach
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Understanding data semantics from real-life databases is considered following an audit perspective: it must help experts to analyse what properties actually hold in the data and support the comparison with desired properties. This is a typical problem of knowledge discovery in databases (KDD) and it is specified within the framework of Mannila and Toivonen where data mining consists in querying theories e.g., the theories of approximate inclusion dependencies. This formalization enables us to identify an important subtask to support database audit as well as a generic algorithm. Next, we consider the DREAM relational database reverse engineering method and DREAM heuristics are revisited within this new setting.