Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In practice, objects, likes cars and people with mobile phones, can usually move on road networks. ,  propose new materialization-based query processing algorithms for typical spatial queries in spatial network databases (SNDB), such as range search and k nearest neighbors (k-NN) search. Our query processing algorithms can reduce the computation time of network distance beten a pair of nodes and the number of disk I/Os required for accessing nodes by using the shortest network distances of all the nodes on spatial networks. Thus, our query processing algorithms improve the existing efficient k-NN (INE) and range search (RNE) algorithms proposed by Papadias et al. [1]. It is shown that our range query processing algorithm achieves about up to one of magnitude better performance than the RNE and our k-NN query processing algorithm achieves about up to 150% performance improvements over INE.
['A. Lee', 'Ahreum Kim', 'Jae-Woo Chang']
I am writing a research paper on a idea Materialization-based query processing algorithms on road networks
[{"from": "human", "value": "I am writing a research paper on a idea Materialization-based query processing algorithms on road networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In practice, objects, likes cars and people with mobile phones, can usually move on road networks. ,  propose new materialization-based query processing algorithms for typical spatial queries in spatial network databases (SNDB), such as range search and k nearest neighbors (k-NN) search. Our query processing algorithms can reduce the computation time of network distance beten a pair of nodes and the number of disk I/Os required for accessing nodes by using the shortest network distances of all the nodes on spatial networks. Thus, our query processing algorithms improve the existing efficient k-NN (INE) and range search (RNE) algorithms proposed by Papadias et al. [1]. It is shown that our range query processing algorithm achieves about up to one of magnitude better performance than the RNE and our k-NN query processing algorithm achieves about up to 150% performance improvements over INE."}]