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
收藏
页码：1499 / +
页数：2
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