The status of data mining is introduced, and essentiality of dimensionality optimization and data preprocessing in the data mining is also discussed. Some issue and resolution are put forward in dimensionality optimization and data preprocessing.
介绍了数据挖掘的研究发展现状 ,以及数据预处理与维度问题在数据挖掘过程中的重要性 ,并对数据的预处理和维度优化方面提出了一些问题及其解决方法。
参考来源 - 数据挖掘中的数据预处理与维度优化·2,447,543篇论文数据，部分数据来源于NoteExpress
维度建模的目标是优化数据仓库数据，以便业务用户轻松查询和分析。
The goal of dimensional modeling is to optimize warehouse data for easy queries and analysis by business users.
维度建模有助于优化数据仓库的查询与分析。
Dimensional modeling helps us optimize our warehouse data for queries and analysis.
如果查询的创建是通过先添加维度再添加事实表然后又添加维度的方式构成，那么数据库优化则必须包含实体化。
If the query was written by adding a dimension followed by a fact and then another dimension, then the database optimization would include the materialization as necessary.
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