The thesis builds a grey-related analysis model about factors which affect the pre-paying of underlying assets.
运用灰关联分析所选择的关键因子，构建了基于基本线风险函数的基础资产早偿率测度模型。
While conceptual and logical data modeling may result in two separate yet related data models, more often, these are two sequential phases of analysis acting upon the same data model.
虽然概念数据建模和逻辑数据建模会产生两个不同但是相关的数据模型，但更常见的是，它们是在同一个数据模型上进行的两个连续分析阶段。
Data locality model should optimize for keeping "related data" in physical proximity to ensure analysis is efficient.
数据本地化模型的优化方法是将“关联的数据”放在物理上临近的地方，从而确保分析的高效性。
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