The KDD process for extracting useful knowledge from volumes of data

被引：881

作者：

Fayyad, U

PiatetskyShapiro, G

Smyth, P

机构：

[1] GTE LABS INC,WALTHAM,MA 02254

[2] UNIV CALIF IRVINE,IRVINE,CA 92717

[3] CALTECH,JET PROP LAB,PASADENA,CA 91125

来源：

COMMUNICATIONS OF THE ACM | 1996年 / 39卷 / 11期

关键词：

D O I：

10.1145/240455.240464

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Knowledge Discovery in Databases creates the context for developing the tools needed to control the flood of data facing organizations that depend on ever-growing databases of business, manufacturing, scientific, and personal information.

引用

页码：27 / 34

页数：8