A Supporting Framework for Real-time Data Mining

被引：0

作者：

Fan Aijing ^{[1
]}

Fan Aiwan ^{[2
]}

机构：

[1] Pingdingshan Univ Network Comp Ctr, Pingdingshan, Henan, Peoples R China

[2] Pingdingshan Univ Sch Comp Sci & Technol, Pingdingshan, Henan, Peoples R China

来源：

ADVANCED MEASUREMENT AND TEST, PARTS 1 AND 2 | 2010年 / 439-440卷

关键词：

Data Warehouse; Real-time Data Mining; Sample Data Division;

D O I：

10.4028/www.scientific.net/KEM.439-440.1499

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Computers widely used in the field of real time process control, and it's very necessary to pay more attention in the field. In this article, real-time data model, real-time data mining environment and the computing characteristics are analyzed. Based on investigating the development of a general purpose methodology for real-time data mining, we propose a novel supporting framework. The framework adopts a novel dynamic data mining process model.

引用

页码：1499 / +

页数：2

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