基于空间数据库的云关联规则及实证研究

Cloud association rules and the empirical analysis based on spatial database

本研究以昆明市部分排水管线的GIS数据和管线疏通记录数据为依据,以云模型为基础对数据库中相关属性进行量到概念的泛化处理,然后使用挖掘最大频繁项目集算法提取关联规则,该方法在提高挖掘效率同时,也确保了结果更接近自然语言概念.

This paper takes the Kunming city section of the drainage pipeline and pipeline dredge GIS data recording data as the basis, with cloud model based on the database related attributes to the generalization of the concept of treatment, and then uses the mining maximum frequent itemsets algorithm to extract association rules. The method improves the mining efficiency, and at the same time ensures that the results are closer to natural language concept.