facing the problem of the increase of amount and complexity of data, the current research situation in data mining is discussed,and then the application of data mining in spatial data base. Three kinds of software architectures are presented based on the integration of spatial data mining, intelligent decision support system and case-based reasoning technique. With their advantage and disadvantage discussed, it is found that the third is good. Finally, the prospect of application of spatial data mining and the existing problem are discussed.

Too much spatial and non-spatial data are stored in spatial database.In order to discover interesting patterns and knowledge from spatial dababase,in this paper,the author introduces present situation and method of the research of spatial classification mining,presents a way of classification analysis and forcasting in spatial data mining using alternative covering design algorithm.The experiment of predicting forest cover types proves that the algorithm is practical.

范例推理技术是人工智能领域中一种基于知识的问题求解和学习方法.为了有效评估银行客户信用等级并提高银行信贷业务效率,文中提出了范例推理技术(CBR)在银行客户信用评估中的应用,并给出了基于范例推理的银行客户信用评估系统的原型,介绍了该系统中的关键技术:范例表示、相似性计算和范例检索,研究了归纳学习、特征子集选择等机器学习方法在范例检索中的应用.

本文讨论了基于OLAP的关联规则挖掘的结构和相关技术.基于OLAP的关联规则挖掘是OLAP技术和高效的关联规则挖掘算法的结合.