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- W1590519177 abstract "当模特儿的数据仓库(DW ) 是一项复杂任务，包含有运作的信息系统结构和行为的企业过程和熟悉的两知识。存在 DW 建模技术受不了下列主要缺点—数据驱动的途径要求专家知识的高水平并且忽视端点用户的要求，当要求驱动的途径缺乏企业宽的视觉并且不管内在的运作的系统的存在模型时。以便补救那些缺点，为 DW 建模的纲要元素的分类的一个方法在这篇论文被建议。我们首先为题目和纲要元素提出了向量空间模型，然后与自我调节的理论介绍一条适应途径构造题目的上下文向量，并且最后自动地分类进 DW 的不同题目的来源纲要元素。得益于纲要元素分类，设计者罐头模型和构造的结果 DW 更容易。电子增补材料电子增补材料为在 http://dx.doi.org/10.1007/s11390-007-9032-8 的这篇文章是可得到的并且为授权的用户可存取。" @default.
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- W1590519177 date "2007-01-01" @default.
- W1590519177 modified "2023-09-28" @default.
- W1590519177 title "An Adaptive Approach to Schema Classification for Data Warehouse Modeling" @default.
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