Resear ch on Progr ess of Spatial Association Rule Mining
Received date: 2007-08-01
Revised date: 2007-11-01
Online published: 2007-11-25
With the progress of spatial data technologies, the volumes of the spatial data enhance gradually, far exceeding people’s ability to analyze it. Traditional spatial data analysis methods can only carry out simple data analysis, having no way to satisfy people’s need of gaining knowledge. Spatial association rule mining approach, which is used to acquire underlying spatial knowledge from spatial database managing complex, multiple- dimension, large, and flexibility border space spatial data, is a fundamental mission of the spatial data mining. The authors make an annotated review of basic concepts, classification, mining process, current research achievements and so on, especially paying attention to approaches improving mining efficient, mining method based on the uncertain space information and attribute information, visualization of mining results and processes, and negative spatial association rule mining. After deeply analyzing research achievements and existing problems, the authors bring forward the future main development directions of spatial association rule mining.
ZHANG Xuewu, SU FenZhen, SHI Yishao, ZHANG Dandan . Resear ch on Progr ess of Spatial Association Rule Mining[J]. PROGRESS IN GEOGRAPHY, 2007 , 26(6) : 123 -132 . DOI: 10.11820/dlkxjz.2007.06.013
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