The DM and OLAP are the critical techniques of data analysis, the multi dimensional data mining model combining both techniques can enhance the performance and effects of data analysis.
DM技术与OLAP技术是电力营销决策支持系统中的关键数据分析技术，二者有机结合构成的多维数据挖掘模型能提高数据分析的效果和性能。
OBJECTIVE To set up the prediction model for evaluating the risk of diabetes mellitus(DM)in community by application of decision tree with data from health records.
目的利用居民健康档案数据和决策树方法，建立糖尿病预测模型，建立社区新型糖尿病高危人群筛选模式。
The author takes CRISP-DM as the referenced model of the data mining process.
作者以CRISP-DM作为数据挖掘过程的参考模型。
DM deepens the data analysis, it automatically mines the interesting model hiding in mass data.
数据挖掘是数据分析的深化，它可自动的挖掘出隐藏在大量数据中有趣的模式。
DM deepens the data analysis, it automatically mines the interesting model hiding in mass data.
数据挖掘是数据分析的深化，它可自动的挖掘出隐藏在大量数据中有趣的模式。
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