Knowledge Discovery from Spatial Databases With Exploratory Inductive Learning
用探测性的归纳学习方法从空间数据库发现知识

An exploratory inductive learning approach is proposed to discover knowledge from spatial database. This approach integrates attribute oriented induction method with exploratory data analysis and Rough set methods. It is flexible and general purpose to discover general knowledge, attribute dependencies and classification knowledge and so on. In order to satisfy the requirements of background knowledge, several methods are proposed for generating concept hierarchies from data. An experiment on agricultural statistical data of China mainland shows that exploratory inductive learning approach is feasible and effective for spatial data mining.