Data mining: State of the art

被引：0
|
作者：
Hagedorn, J
Bissantz, N
Mertens, P
机构：
[1] SAP AG, D-69190 Walldorf, Germany
[2] Bissantz Kuppers & Co GMBH, D-91058 Erlangen, Germany
[3] FORWISS, Bayer Forschungszentrum Wissensbasierte Syst, D-91058 Erlangen, Germany
来源：
WIRTSCHAFTSINFORMATIK | 1997年 / 39卷 / 06期
关键词：
Data Mining; OLAP; knowledge discovery; deviation detection;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
During the last years, general progress in information processing led to an enormous increase of the data amounts which are produced in the companies' functional units, Unfortunately, only limited capacities to analyse this flood of data are available. hs a consequence, there is the danger to overlook important management information. Therefore, it is promising to apply data mining methods which automate data analysis processes to economic issues, This paper presents the idea of data mining, sketches the difficulties which must be overcome, and describes the stare of the art by giving examples of systems, methods, and applications.
引用
收藏
页码：601 / +
页数：13
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