Group Nearest Neighbor Queries for Fuzzy Geo-Spatial Objects

摘要: A geo-spatial object with non-deterministic boundaries and compositions is commonly known as a fuzzy object. The advancement of data capturing devices such sensors satellite imaging technologies enable us to identify objects from large complex image an area. nearest neighbor (NN) query processing on objects, which finds the given point, has been addressed recently. In this paper, we envision new set applications that require finding for group objects. For example, when oil spill occurs at sea, primary concern emergency response planner find environmentally sensitive area, e.g., port or harbor, will be affected most by spill. To support applications, in propose type, called (FGNN) query. Given FGNN returns minimizes aggregate distance group. solve queries, develop efficient technique paper. Our extensive experimental study reveals efficacy efficiency our proposed technique.