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A spatial join is a query that searches for a set of object pairs satisfying a given spatial relationship from a database. It is one of the most costly queries, and thus requires an efficient processing algorithm that fully exploits the features of the underlying spatial indexes. In our earlier work, we devised a fairly effective algorithm for processing spatial joins with double transformation (DOT)...
The road network now opens a new application area for the classic k-NN queries, which retrieve k objects closest to a given query point. There are many previous methods for k-NN query processing. However, all of them are not sufficient in experimental evaluation of performance. In this paper, we present the way that extensively evaluates prior methods for processing of k-NN queries. To achieve this...
Owing to the GIS technology, a vast volume of spatial data has been accumulated, thereby incurring the necessity of spatial data mining techniques. In this paper, we propose a new spatial data mining system named SD-Miner. SD-Miner consists of three parts: a graphical user interface for inputs and outputs, a data mining module that processes spatial data mining functionalities, a data storage model...
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