Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The top-k dominating (TKD) query returns the k objects that dominate the maximum number of the objects in a given dataset. Incomplete data exists in a wide spectrum of real datasets, due to device failure, privacy preservation, data loss, etc. , for the first time,  carry out a systematic study of TKD queries on incomplete data, which involves the data having some missing dimensional value(s).  formalize this problem, and propose a suite of efficient algorithms for supporting it. Our methods utilize some novel techniques, such as upper bound score pruning and bitmap binning strategy, to boost query efficiency. Extensive experiments with both real and synthetic data sets demonstrate the efficiency of our presented algorithms.
['Xiaoye Miao', 'Yunjun Gao', 'Baihua Zheng', 'Gang Chen', 'Huiyong Cui']
I am writing a research paper on a idea Top-k dominating queries on incomplete data
[{"from": "human", "value": "I am writing a research paper on a idea Top-k dominating queries on incomplete data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The top-k dominating (TKD) query returns the k objects that dominate the maximum number of the objects in a given dataset. Incomplete data exists in a wide spectrum of real datasets, due to device failure, privacy preservation, data loss, etc. , for the first time,  carry out a systematic study of TKD queries on incomplete data, which involves the data having some missing dimensional value(s).  formalize this problem, and propose a suite of efficient algorithms for supporting it. Our methods utilize some novel techniques, such as upper bound score pruning and bitmap binning strategy, to boost query efficiency. Extensive experiments with both real and synthetic data sets demonstrate the efficiency of our presented algorithms."}]