ACMC策略在多维数据挖掘处理过程中的应用分析

数据分析和预测的高质量性和高效性是非常重要的,尤其是在复杂的数据环境中,其作用更加明显。采用层次分析法构建挖掘模型(AHP Construct Mining Component,ACMC)策略可以更加直观地进行数据挖掘,其优点非常明显。AC-MC策略能够很好地升华原本的层次分析理念。本文基于复杂的数据环境,对ACMC的实用性进行充分的研究和分析。

Applications Analysis of ACMC Strategy in Multi-dimensional Data Mining

Data analysis and forecasting of high quality and efficiency is very important,especially in complex data environment,its role is more obvious.A "level of analysis to build a mining model" strategy(AHP Construct Mining Component,abbreviated as ACMC) can be more intuitive data mining,the advantage is obvious.ACMC policies can be a good distillation of the original idea of the level of analysis.In this article,based on complex data environment,fully practical research and analysis for ACMC is given.