数据挖掘技术在绿化决策中的应用  

APPLICATION OF DATA-MINING TO VIRESCENCE DECISION MAKING

作　　者：徐涛[1] 

机构地区：[1]广东工业大学工商管理学院,广州510090

出　　处：《计算机应用与软件》2001年第4期18-21,共4页Computer Applications and Software

摘　　要：本文介绍了数据库技术的现状、数据挖掘的方法以及它在Bayesian网建网技术中的应用:通过数据挖掘解决Bayesian网络建模过程中所遇到的具体问题,即如何从大规模数据库中寻找各变量之间的关系以及如何确定条件概率问题。通过将该方法应用于实际问题中的例子:绿化决策系统中如何选取树种,我们将看到此技术是有效和实用的。The main contents discussed in this paper are about the present status of databases, the method of data - mining and its application in the network establishing of Bayesian: to solve the specific problems of modeling of Bayesian network by means of data - mining, i. e. how to look for the relationship among all variables from a mass of databases and how to identify the conditional possibility. Virtually, it is testified to be effective and practical by putting this method into actual examples, where choosing tree seeds in virescence decision making is considered.

关 键 词：数据挖掘 函数依赖 条件概率 绿化决策 数据库 城市绿化 

分 类 号：TU985.14[建筑科学—城市规划与设计] TP311.13[自动化与计算机技术—计算机软件与理论]