Knowledge discovery from data?

被引：0
|
作者：
Pazzani, Michael J. [1 ]
机构：
[1] University of California, Irvine, CA, United States
来源：
IEEE Intelligent Systems and Their Applications | 2000年 / 15卷 / 02期
关键词：
Data structures - Database systems - Knowledge representation - Statistics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The knowledge discovery and data mining (KDD) field draws on findings from statistics, databases and artificial intelligence to construct tools that let users gain insight from massive data sets. People in business, science, medicine, academia and government collect such data sets, and several commercial packages offer general-purpose KDD tools. An important KDD goal is to `turn data into knowledge'.
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页码：10 / 13
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