Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  addresses the problem of query-aware data cleaning in the context of a user query. In particular,  develop a novel  Query-Driven Approach  (  ${\tt QDA}$      ) that systematically exploits the semantics of the predicates in   ${\tt SQL}$      -like selection queries to reduce the data cleaning overhead. The objective of    ${\tt QDA}$       is to issue the minimum number of cleaning steps that are necessary to ansr a given    ${\tt SQL}$      -like selection correctly. The comprehensive empirical evaluation of    ${\tt QDA}$       demonstrates outstanding results—that is    ${\tt QDA}$       is significantly better compared to traditional ER techniques, especially when the query is very selective.
['Hotham Altwaijry', 'Dmitri V. Kalashnikov', 'Sharad Mehrotra']
I am writing a research paper on a idea QDA: A Query-Driven Approach to Entity Resolution
[{"from": "human", "value": "I am writing a research paper on a idea QDA: A Query-Driven Approach to Entity Resolution"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  addresses the problem of query-aware data cleaning in the context of a user query. In particular,  develop a novel  Query-Driven Approach  (  ${\\tt QDA}$      ) that systematically exploits the semantics of the predicates in   ${\\tt SQL}$      -like selection queries to reduce the data cleaning overhead. The objective of    ${\\tt QDA}$       is to issue the minimum number of cleaning steps that are necessary to ansr a given    ${\\tt SQL}$      -like selection correctly. The comprehensive empirical evaluation of    ${\\tt QDA}$       demonstrates outstanding results\u2014that is    ${\\tt QDA}$       is significantly better compared to traditional ER techniques, especially when the query is very selective."}]