Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Currently, the computation of set similarity has become an increasingly important tool in many real-world applications, such as near- duplicate detection, data cleaning and record linkage, etc., in which sets often are uncertain due to date missing, imprecise and noise, etc. The challenge of evaluating similarity beten probabilistic sets mainly stems from the exponential blowup in the number of possible worlds induced by uncertainty. ,  define the probability threshold set similarity (PTSS) beten two probabilistic sets based on the possible world semantics and propose an exact solution to compute PTSS via the dynamic programming. To speed up the computation of the proba- bility threshold set query (PTSQ),  derive an efficient and effective pruning rule for PTSQ. Finally,  conduct extensive experiments to verify the effectiveness and efficiency of our algorithms using both real and synthetic datasets.
['Lei Wang', 'Ming Gao', 'Rong Zhang', 'Cheqing Jin', 'Aoying Zhou']
I am writing a research paper on a idea Computing Probability Threshold Set Similarity on Probabilistic Sets
[{"from": "human", "value": "I am writing a research paper on a idea Computing Probability Threshold Set Similarity on Probabilistic Sets"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Currently, the computation of set similarity has become an increasingly important tool in many real-world applications, such as near- duplicate detection, data cleaning and record linkage, etc., in which sets often are uncertain due to date missing, imprecise and noise, etc. The challenge of evaluating similarity beten probabilistic sets mainly stems from the exponential blowup in the number of possible worlds induced by uncertainty. ,  define the probability threshold set similarity (PTSS) beten two probabilistic sets based on the possible world semantics and propose an exact solution to compute PTSS via the dynamic programming. To speed up the computation of the proba- bility threshold set query (PTSQ),  derive an efficient and effective pruning rule for PTSQ. Finally,  conduct extensive experiments to verify the effectiveness and efficiency of our algorithms using both real and synthetic datasets."}]