The category concept: an extension to the entity-relationship model
Data & Knowledge Engineering
A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
Representing extended entity-relationship structures in relational databases: a modular approach
ACM Transactions on Database Systems (TODS)
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
A survey of database design transformations based on the Entity-Relationship model
Data & Knowledge Engineering
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Fuzzy logic in data modeling: semantics, constraints, and database design
Fuzzy logic in data modeling: semantics, constraints, and database design
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Fuzzy association rules and the extended mining algorithms
Information Sciences—Informatics and Computer Science: An International Journal
Entity-Relationship Modeling and Fuzzy Databases
Proceedings of the Second International Conference on Data Engineering
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A Data Type Approach to the Entity-Relationship Approach
Proceedings of the 1st International Conference on the Entity-Relationship Approach to Systems Analysis and Design
Abstraction Capabilities and Invariant Properties Modelling within the Entity-Relationship Approach
Proceedings of the 1st International Conference on the Entity-Relationship Approach to Systems Analysis and Design
EDUA: An efficient algorithm for dynamic database mining
Information Sciences: an International Journal
On discovery of soft associations with "most" fuzzy quantifier for item promotion applications
Information Sciences: an International Journal
Information Sciences: an International Journal
Integrating induction and deduction for noisy data mining
Information Sciences: an International Journal
Functional dependency discovery via Bayes net analysis
MAMECTIS/NOLASC/CONTROL/WAMUS'11 Proceedings of the 13th WSEAS international conference on mathematical methods, computational techniques and intelligent systems, and 10th WSEAS international conference on non-linear analysis, non-linear systems and chaos, and 7th WSEAS international conference on dynamical systems and control, and 11th WSEAS international conference on Wavelet analysis and multirate systems: recent researches in computational techniques, non-linear systems and control
Conceptual modeling of cardinality constraints in social publishing
International Journal of Intelligent Systems
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The entity-relationship (ER) model, a powerful means for business and data modeling, needs to be enriched with new semantics as the real world changes and its understanding improves. This paper attempts at enriching the ER model based on association rules (AR) discovered from large databases by introducing specializations and sub-types into the ER model. The proposed framework is extended to deal with more general, flexible and linguistic knowledge in fuzzy association rules. Moreover, transforming an AR-enriched-ER (AR-EER) schema to a relational database (RDB) schema is also investigated.