DATA WAREHOUSING FOR DATA MINING BASED ON OLAP TECHNOLOGY

被引：0

作者：

Liu, Xinliang ^{[1
]}

Du, Junping ^{[2
]}

Li, Wenzheng ^{[1
]}

Zuo, Min ^{[1
]}

Han, Zhongming ^{[1
]}

机构：

[1] Beijing Technol & Business Univ, Beijing 102488, Peoples R China

[2] Beijing Univ Posts & Telecommun, Beijing 1000876, Peoples R China

来源：

CIICT 2008: PROCEEDINGS OF CHINA-IRELAND INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS TECHNOLOGIES 2008 | 2008年

关键词：

Data Warehouse; Data Mining; OLAP Technology; Data Model;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Data Mining is gaining popularity as an effective tool for increasing profits in a variety of industries. However, the quality of the information resulting from the data mining exercise is only as good as the underlying data. The importance of accurate, accessible data is paramount. A well designed data warehouse can greatly enhance the effectiveness of the data mining process. This paper argue that the a multi-dimensional data model, data warehouse architecture, meanwhile, we propose the efficient cube computation methods ROLAP-Based method to solve the data warehouse computation problem for data mining.

引用

页码：176 / +

页数：3