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Method and apparatus for hierarchical data analysis based on cross-correlation

机译:基于互相关的分层数据分析方法及装置

摘要

The present invention generally relates to accessing data selected by a user based on correlation analysis. It is proposed in the present invention to introduce attribute value normalization and a hierarchical data analysis based on mutual correlations between attributes. Normalization of scale values of attributes to nominal values provides a basis for the hypothesis of correlations between attributes, thus scientifically justifying further observation and comparison. Multiple layer hierarchical investigation enables not only analysis on the level of attributes but also of related data, which provides a more detailed observation.
机译:本发明总体上涉及访问用户基于相关性分析选择的数据。在本发明中提出了基于属性之间的相互相关性来引入属性值归一化和分层数据分析。将属性的比例值标准化为名义值,为属性之间的相关性假设提供了基础,从而科学地证明了进一步观察和比较的合理性。多层层次调查不仅可以分析属性级别,还可以分析相关数据,从而提供了更详细的观察结果。

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