期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2018
卷号：10
期号：3
页码：71-76
DOI：10.21817/ijcse/2018/v10i3/181003010
出版社：Engg Journals Publications
摘要：Spatial data mining is the process of mining the spatial and spatiotemporal data, in order to discover otherwise hidden and unknown patterns and trends in data. Its application areas include business prospecting, store prospecting, hospital prospecting and automobile insurance etc. This paper includes a survey of spatial data mining, its types, techniques and roles in the field of research. Clustering, Classification, Cloropeth display have been the main focus of the paper. All kinds of clustering such as partitioning based, hierarchical based, grid based, model based and density based clustering techniques have been applied here. The outcome of the survey is a consolidated study of all the above techniques and methods of spatial data mining including a detailed summary, advantages, disadvantages, comparison and distinguishes among several techniques. Such type of survey has not been existing till date. So, our main objective behind the paper was to bring a standardized and uniform platform for all the techniques of spatial data mining.
关键词：Spatial Data; Data Mining; Classification; Big Data.
