期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2005
卷号：XXXVI-2/W25
出版社：Copernicus Publications
摘要：It is well known that a great deal of achievement about data mining in business field has been made during the past years. In this case, the research emphasis on data mining and knowledge discovery has inevitably been shifted from non-spatial data into spatial data. A marked and important difference compared non-spatial data with spatial data is of scale-dependency for spatial data, i.e., its scale attribute and nature. In this paper, we initially present the scale issue of spatial data mining, and conduct an experiment to briefly demonstrate scale transformation. The results show that information and knowledge may be changeful with the scale changing. Simultaneously, to solve our problem, we successfully introduce geostatistics into SDMKD
关键词：scale; SDMKD; spatial association rules mining; spatial database; geostatistics
