期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：4
页码：51-55
语种：English
出版社：Ayushmaan Technologies
摘要：The recent advancements and cost reduction technologies for collecting spatial data like Satellite Images, Cellular Phones, Sensor Networks, and GPS devices has facilitated huge collection of data referenced in space and time. The conventional systems and classical data mining techniques are not useful in discovering or retrieving the interesting hidden information from these large collections of data. Spatial data are embedded in continuous space, whereas classical datasets (e.g. transactions) are often discrete. Spatial data require complex data preprocessing, transformation, data mining, and post-processing techniques to extract novel, useful, and understandable desired patterns. Thus, new methods are needed to analyze spatial data to extract interesting, useful, and non-trivial patterns. The main goal of this paper is to disseminate this research field, giving an overview of the current state of the art and the main methodologies and algorithms for spatial data mining.
