Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a class of integrity constraints for relational databases, referred to as  conditional functional dependencies  (CFDs), and study their applications in data cleaning. In contrast to traditional functional dependencies (FDs) that re developed mainly for schema design, CFDs aim at capturing the consistency of data by enforcing bindings of semantically related values. For static analysis of CFDs  investigate  the consistency problem , which is to determine whether or not there exists a nonempty database satisfying a given set of CFDs, and  the implication problem , which is to decide whether or not a set of CFDs entails another CFD.  show that while any set of transitional FDs is trivially consistent, the consistency problem is NP-complete for CFDs, but it is in PTIME when either the database schema is predefined or no attributes involved in the CFDs have a finite domain. For the implication analysis of CFDs,  provide an inference system analogous to Armstrong's axioms for FDs, and show that the implication problem is coNP-complete for CFDs in contrast to the linear-time complexity for their traditional counterpart.  also present an algorithm for computing a minimal cover of a set of CFDs. Since CFDs allow data bindings, in some cases CFDs may be physically large, complicating the detection of constraint violations.  develop techniques for detecting CFD violations in SQL as ll as novel techniques for checking multiple constraints by a single query.  also provide incremental methods for checking CFDs in response to changes to the database.  experimentally verify the effectiveness of our CFD-based methods for inconsistency detection. This work not only yields a constraint theory for CFDs but is also a step toward a practical constraint-based method for improving data quality.
['Wenfei Fan', 'Floris Geerts', 'Xibei Jia', 'Anastasios Kementsietsidis']
I am writing a research paper on a idea Conditional functional dependencies for capturing data inconsistencies
[{"from": "human", "value": "I am writing a research paper on a idea Conditional functional dependencies for capturing data inconsistencies"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a class of integrity constraints for relational databases, referred to as  conditional functional dependencies  (CFDs), and study their applications in data cleaning. In contrast to traditional functional dependencies (FDs) that re developed mainly for schema design, CFDs aim at capturing the consistency of data by enforcing bindings of semantically related values. For static analysis of CFDs  investigate  the consistency problem , which is to determine whether or not there exists a nonempty database satisfying a given set of CFDs, and  the implication problem , which is to decide whether or not a set of CFDs entails another CFD.  show that while any set of transitional FDs is trivially consistent, the consistency problem is NP-complete for CFDs, but it is in PTIME when either the database schema is predefined or no attributes involved in the CFDs have a finite domain. For the implication analysis of CFDs,  provide an inference system analogous to Armstrong's axioms for FDs, and show that the implication problem is coNP-complete for CFDs in contrast to the linear-time complexity for their traditional counterpart.  also present an algorithm for computing a minimal cover of a set of CFDs. Since CFDs allow data bindings, in some cases CFDs may be physically large, complicating the detection of constraint violations.  develop techniques for detecting CFD violations in SQL as ll as novel techniques for checking multiple constraints by a single query.  also provide incremental methods for checking CFDs in response to changes to the database.  experimentally verify the effectiveness of our CFD-based methods for inconsistency detection. This work not only yields a constraint theory for CFDs but is also a step toward a practical constraint-based method for improving data quality."}]