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Spatial Data Preprocessing for Mining Spatial AssociationudRule with Conventional Association Mining Algorithms

机译:挖掘空间关联的空间数据预处理 ud常规关联挖掘算法的规则

摘要

The increasing usage of Geographical Information Systems (GIS) for various problems makes the volume of spatial data is growing fast. Spatial data mining is one of the several ways to find the new knowledge from data collection. One of spatial data mining tasks is spatial association rule. There are numerous association rule algorithms have been developed for mining association. Unfortunately, the most algorithms can only used for mining non-spatial and specific formatted data. Therefore, spatial data preprocessing is needed in order conventional association algorithms can be used for spatial data.
机译:越来越多的地理信息系统(GIS)用于各种问题,这使得空间数据量正在快速增长。空间数据挖掘是从数据收集中找到新知识的几种方法之一。空间数据挖掘任务之一是空间关联规则。已经开发了许多用于挖掘关联的关联规则算法。不幸的是,大多数算法只能用于挖掘非空间和特定格式的数据。因此,需要进行空间数据预处理,以便可以将常规关联算法用于空间数据。

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