Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: During the life of a database, systematic and frequent violations of a given constraint may suggest that the represented reality is changing and thus the constraint should evolve with it.   propose a method and a tool to (i) nd the functional dependencies that are violated by the current data, and (ii) support their evolution when it is necessary to update them. The method relies on the use of condence , as a measure that is associated with each dependency and allows us to understand "how far" the dependency is from correctly describing the current data; and of goodness, as a measure of balance beten the data satisfying the antecedent of the dependency and those satisfying its consequent. Our method compares favorably with literature that approaches the same problem in a dierent way, and performs eectively and eciently as shown by our tests on both real and synthetic databases.
['Mirjana Mazuran', 'Elisa Quintarelli', 'Letizia Tanca', 'Stefania Ugolini']
I am writing a research paper on a idea Semi-automatic support for evolving functional dependencies
[{"from": "human", "value": "I am writing a research paper on a idea Semi-automatic support for evolving functional dependencies"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: During the life of a database, systematic and frequent violations of a given constraint may suggest that the represented reality is changing and thus the constraint should evolve with it.   propose a method and a tool to (i) nd the functional dependencies that are violated by the current data, and (ii) support their evolution when it is necessary to update them. The method relies on the use of condence , as a measure that is associated with each dependency and allows us to understand \"how far\" the dependency is from correctly describing the current data; and of goodness, as a measure of balance beten the data satisfying the antecedent of the dependency and those satisfying its consequent. Our method compares favorably with literature that approaches the same problem in a dierent way, and performs eectively and eciently as shown by our tests on both real and synthetic databases."}]