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    基于数据挖掘的公园评价研究

    关键词:风景园林;大数据;公园评价;指标体系;粗糙集;决策表

    Key words:landscape architecture; big data; park evaluation; standard system; rough sets; decision table

    摘要:利用数据资源多学科交叉的特性综合解决风景园林问题的发展路径已经形成共识。为此,提出一种基于数据挖掘的公园评价分析方法。将若干公园历史上各阶段有关评价方面的数据归并为决策表,以基于粗糙集理论的挖掘算法从决策表中获得这些数据中的规律性知识,用其分析公园发展的动态特征,为公园的建设提供科学指导依据。

    Abstract:The development path of multidisciplinary comprehensive to solve landscape architecture problems using data resources has been formed. A park evaluation method based on data mining is proposed. The relevant data of park evaluationis incorporated into decision table by the several stages in the history of the parks, the regular knowledge is obtained by a mining algorithm based on Rough set theory from the decision table, use it to analyze the dynamic features of the park evaluation. Provide scientific basis for the planning of the parks.

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