Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In frequent geographic pattern mining a large amount of patterns can be non-novel and non-interesting. This problem has been addressed recently, and background knowledge is used to reduce ll known geographic patterns. Hover, a large amount of meaningless patterns which is independent of domain knowledge is still extracted from geographic data. Therefore, this paper proposes a method for filtering specific types of meaningless spatial patterns using qualitative spatial reasoning.  proof significant reduction of the number of frequent patterns, which is also shown with experiments performed on real data. These experiments even show a reduction in computational time.
['Vania Bogorny', 'Bart Moelans', 'Luis Otavio Alvares']
I am writing a research paper on a idea Filtering Frequent Spatial Patterns with Qualitative Spatial Reasoning
[{"from": "human", "value": "I am writing a research paper on a idea Filtering Frequent Spatial Patterns with Qualitative Spatial Reasoning"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In frequent geographic pattern mining a large amount of patterns can be non-novel and non-interesting. This problem has been addressed recently, and background knowledge is used to reduce ll known geographic patterns. Hover, a large amount of meaningless patterns which is independent of domain knowledge is still extracted from geographic data. Therefore, this paper proposes a method for filtering specific types of meaningless spatial patterns using qualitative spatial reasoning.  proof significant reduction of the number of frequent patterns, which is also shown with experiments performed on real data. These experiments even show a reduction in computational time."}]