Research on Intelligent Decision Oriented Architecture of Data Mining

被引：0

作者：

He YueShun ^{[1
]}

Ding QiuLin ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Nanjing 210016, Peoples R China

来源：

2009 INTERNATIONAL SYMPOSIUM ON WEB INFORMATION SYSTEMS AND APPLICATIONS, PROCEEDINGS | 2009年

关键词：

parallel data mining; architecture; business intelligence; pattern base;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The large commercial transactions data implied lots of useful knowledge for business decisions, the hidden patterns and relationships could be found by data mining. This paper analyzed and pointed out the characteristics and the deficiency of the general architecture of the data mining, the general architecture of data mining was improved by the parallel processing technology and the results of data mining be saved. The parallel architecture of the data mining which made for business intelligence applications with the model storage was presented, and its characteristics were analyzed, the analysis showed that the parallel architecture of data mining has a possibility for business intelligence.

引用

页码：315 / 317

页数：3