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ACMC策略在多维数据挖掘处理过程中的应用分析

曹文梁

计算机与现代化Issue(5):77-79,3.
计算机与现代化Issue(5):77-79,3.DOI:10.3969/j.issn.1006-2475.2012.05.023

ACMC策略在多维数据挖掘处理过程中的应用分析

Applications Analysis of ACMC Strategy in Multi-dimensional Data Mining

曹文梁1

作者信息

  • 1. 东莞职业技术学院计算机工程系,广东东莞523808
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摘要

Abstract

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.

关键词

层次分析法构建挖掘模型/数据挖掘/具体应用

Key words

ACMC( AHP construct mining component)/ DM (data mining) / specific applications

分类

信息技术与安全科学

引用本文复制引用

曹文梁..ACMC策略在多维数据挖掘处理过程中的应用分析[J].计算机与现代化,2012,(5):77-79,3.

计算机与现代化

OACSTPCD

1006-2475

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