The data warehouse and data mining

被引：74
|
作者：
Inmon, WH
机构：
[1] Pine Cone Systems, Castle Rock
来源：
COMMUNICATIONS OF THE ACM | 1996年 / 39卷 / 11期
关键词：
D O I：
10.1145/240455.240470
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The architectural foundations of decision support systems are data warehouse and data mining. The nature of a data warehouse includes integrated data, detailed and summarized data, historical data and metadata. Integrated data enable the data miner to easily and quickly look across vistas of data. Detailed data is important when the miner wishes to examine data in its most detailed form while historical data is essential because important information nuggets are hidden in this type of data. Metadata serves as a roadmap to the miner who utilizes metadata in describing the context of information. Examples of architectural extension of the data warehouse are Online Analytical Processing (OLAP) data marts.
引用
收藏
页码：49 / 50
页数：2
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