Data-Mining-Anwendungsarchitektur
| dc.contributor.author | Petersohn, Helge | |
| dc.date.accessioned | 2018-01-16T08:51:40Z | |
| dc.date.available | 2018-01-16T08:51:40Z | |
| dc.date.issued | 2004 | |
| dc.description.abstract | The ability to combine domain specific knowledge and special knowledge about using mathematical-statistical methods for analyzing big data bases at present time is not wide-spread in science and business.For the near future, an increase in data mining applications can be expected. So, one needs instruments to support non-specialists in using specific knowledege about data mining.In this paper a data mining architecture is introduced. Its main advantage is to offer a systematical scheme for data mining methods. These methods are structured with reference to applications.The data mining application architecture is a decision and structuring support for data mining problems to users, scientists and students. | |
| dc.identifier.pissn | 1861-8936 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/12392 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Wirtschaftsinformatik: Vol. 46, No. 1 | |
| dc.relation.ispartofseries | Wirtschaftsinformatik | |
| dc.subject | Application Architecture | |
| dc.subject | Application References | |
| dc.subject | Components of Architecture | |
| dc.subject | Data Mining | |
| dc.subject | Data Mining-Methods | |
| dc.subject | Data Mining-Process | |
| dc.subject | Decision Support | |
| dc.subject | Scenarios of References | |
| dc.title | Data-Mining-Anwendungsarchitektur | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 21 | |
| gi.citation.startPage | 15 |